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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 - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience - 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: 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: 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 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. 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: 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 Able to travel internationally on average once a month Ability to flex working hours to partner with teams in EMEA and APAC. 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: 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.

Location: San Francisco; Palo Alto ABOUT PERPLEXITY AI In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. As an engineer at Perplexity, your role will be to build products and systems that define how AI empowers humans to think, decide and act. You’ll ship fast and work between both product and infrastructure advancements in our technology. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. ABOUT THE ROLE Perplexity is looking for a deeply technical software engineer to own and evolve our model serving platform, which is responsible for connecting our products and research systems with our inference layers. This mission-critical system gives teams one fast, reliable interface across providers. You will work at the intersection of distributed systems, AI products, and infrastructure. You will make it dramatically easier for teams across Perplexity to adopt new models, run rigorous experiments, and ship dependable products. The ideal candidate combines sound technical judgment forged in production systems with active curiosity around the rapidly changing capabilities and failure modes of frontier models. You will design core abstractions, lead high-conviction technical decisions, and write production Rust and Python for a service that serves hundreds of millions of model requests per day. REQUIRED QUALIFICATIONS - 5+ years of experience building and shipping large-scale systems and services with high reliability, availability, and performance. - Strong software engineering craft, with special care for developer experience and designing future-proof systems that can evolve along with a rapidly advancing AI landscape. - Proficiency with a general-purpose backend language (Python, Rust, C++, Go) and cloud infrastructure (AWS, Kubernetes). - BS, MS, or PhD in Computer Science, Engineering, or related fields (or equivalent experience).

Location: New York, New York; San Francisco, California 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: As a Sales Recruiter you’ll help build the next evolution of our go-to-market organization. You’ll recruit for new and evolving customer-facing roles—including Business Development Representatives, Solutions Consultants, Outcomes Architects, Forward Deployed Architects, and Forward Deployed Engineers—that bring stronger technical fluency, deeper customer ownership, and fewer handoffs to enterprise selling. You’ll partner with Sales leaders and cross-functional teams to turn an emerging business strategy into clear profiles, thoughtful processes, and exceptional hires. You will use Notion every day in the same way our customers do, giving you firsthand insight into the workflows and AI transformation behind the roles you are hiring for. You will also help build a new GTM motion at the intersection of AI, workflow design, enterprise transformation, and customer outcomes. The work requires craft, clarity, speed, and strong judgment, balancing business urgency with a high bar for talent density. This role is based in San Francisco, CA. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.   WHAT YOU'LL ACHIEVE: - Build trusted partnerships with Sales leaders, advising on role definition, search strategy, assessment design, and hiring decisions for new and evolving teams. - Deliver high-quality hires across the next generation of GTM roles, from sourcing through close, while creating a thoughtful, inclusive, and high-touch candidate experience. - Translate Notion’s product love, AI opportunity, and customer motion into accurate candidate narratives that help the right people self-select in. - Use talent-market research, mapping, and recruiting data to improve hiring strategy and decision quality. - Raise the quality and consistency of the hiring system through structured intake, calibration, debriefs, manager coaching, and sourcing strategies that expand representation.   SKILLS YOU'LL NEED TO BRING: - Demonstrated success recruiting across GTM searches, with the judgment to learn and represent evolving role profiles accurately. - Ability to turn business strategy into clear candidate profiles, search plans, and objective assessment criteria—and to influence senior leaders toward strong decisions. - Strong sourcing, market-mapping, and closing instincts across various Sales disciplines. - Operational rigor and comfort using data to diagnose pipeline health, measure impact, and improve the candidate and hiring-manager experience. - Curiosity, learning agility, and a hands-on approach to AI tools: you use them to think better, improve recruiting workflows, and make your work easier for others to build on.   Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $136,000 - $170,000 per year.   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?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528.   #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Staff Software Engineer on the GTM AI Engineering (Claudification) team, you will build the agents and AI systems that run Anthropic's own go-to-market work. Our sellers already work alongside agents every day. You will take things to the next step and build agents that run complete autonomous motions across areas like inbound, outbound, and pipeline management. In addition, you’ll build eval frameworks that prove those agents are ready for customer-facing work and are driving value. This is a senior role where you’ll drive technical direction for agents and evals across our team. Working closely with sellers, RevOps, and our platform engineering partners, you'll own projects from first prototype through production operation. You'll combine full-stack engineering (MCP servers, agentic systems, web applications, etc.) with hands-on evaluation work (behavior benchmarks, production monitoring, ROI measurement), and help architect the shared platforms that builders from across our go-to-market org contribute to. You've worked in cultures of analytical rigor before, and you're eager to help shape the norms and best practices of a growing AI engineering function at a pivotal moment in the company's growth. Key responsibilities Build and operate autonomous agents that run go-to-market motions end to end, across areas like inbound, outbound, pipeline management, and customer engagement Design the human oversight for each motion: approval gates, handoffs, and escalation paths that keep sellers in control Develop evaluation frameworks for agent behavior, and run them in development and in production Instrument model and tool calls in production, and build the observability and measurement that ties agent actions to pipeline and revenue Ship MCP servers, agent skills, and web applications that connect to systems like our CRM, communication tools, and data warehouse Set the technical direction for how we build, evaluate, and operate agents across the team Architect shared codebases that builders from across go-to-market contribute to, setting the conventions and review practices that keep quality high Work directly with sellers to ground agent designs in real workflows, and iterate based on what you observe Identify repeatable patterns and contribute insights back to Anthropic's Product and Engineering teams Maintain strong knowledge of the latest developments in LLM capabilities, agent frameworks, and evaluation techniques Minimum qualifications Strong programming skills in Python or TypeScript, with experience building and operating production applications Production experience with LLMs, including context engineering, agent development, MCP development, tool use, and evaluation frameworks Experience using evals and transcript analysis to find and fix real problems in an LLM system Working fluency with data, including SQL Ability to navigate ambiguity and ship without a spec, finding simple solutions to complex problems Passion for advancing safe, beneficial AI, and care for the people who use what you build Preferred qualifications 8+ years in roles such as software engineer, ML engineer, or forward deployed engineer. Former technical founders are encouraged to apply Experience with the Claude Code and the Claude Agent SDK Experience with go-to-market systems (CRM, sales engagement, enrichment, conversation intelligence) or time working closely with a revenue team Experience growing a codebase that many people contribute to, inner-source or open-source Applied ML and experimentation background: A/B testing, propensity models, recommendations, or causal analysis Exceptional communication skills to convey technical concepts to non-technical partners with low ego Representative projects (Illustrative of the kind of work, not a project list.) Build an agent that takes a routine sales workflow from first signal to a drafted, human-reviewed action Stand up the eval suite for an agent: seed scenarios, scoring rubrics, and regression runs on every change Ship an MCP server that gives sellers and their agents governed access to a core revenue system Design a shared repository where go-to-market builders publish agents and skills, with the tests and review rules that keep it healthy Build a predictive model that explains itself, so an agent can tell a seller why it suggests an action The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States (Remote) Workplace: Remote About Teleport Don't wait for the future of infrastructure. Be part of it. Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence. Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world.   ABOUT THE ROLE As Senior Partner Marketing Manager, you'll own the strategy and execution of Teleport's partner marketing programs — building the co-marketing campaigns, partner enablement materials, and joint events that drive pipeline through our channel, cloud, and technology alliances. You'll serve as the connective tissue between Marketing and our Channel and Alliance teams, ensuring partner messaging ladders into Teleport's core narrative and that every marketing dollar spent in the ecosystem is tied to measurable pipeline impact. This is a high-ownership role for someone who thrives at the intersection of strategy and execution, and who knows how to turn partner relationships into revenue.   WHAT YOU WILL DO - Enable the Ecosystem: Create "To-Partner" toolkits, playbooks, and sales enablement materials that empower partner sales teams to effectively pitch Teleport to their customers. - Strategic Sales Alignment: Serve as the marketing lead for our Channel and Alliance managers, aligning marketing spend with territory goals to accelerate late-stage deals through partner influence. - Design & Execute Co-Marketing Programs: Lead the strategy and execution of "With-Partner" marketing campaigns, including joint webinars, co-branded content, and digital demand generation designed to drive pipeline for both Teleport and our partners. - Strategize and Execute Partner Events: Identify and execute partner events and activations. This includes securing speaking slots in partner theaters, organizing high-touch networking events, and managing joint sponsorships. - Campaign Integration: Collaborate with the Global Campaigns and Product Marketing teams to ensure partner messaging is woven into our core narrative, specifically targeting the "Developer to Decision-Maker" journey. - Lifecycle Partner Marketing: Collaborate on the end-to-end partner journey, from onboarding new technology partners to optimizing long-term co-marketing ROI. - Measurement & Optimization: Track, analyze, and report on the impact of partner programs. You will own the metrics for partner-sourced and partner-influenced pipeline, iterating on tactics based on data-driven insights.   WHAT WE'RE LOOKING FOR - Experience: 8+ years of experience in partner marketing within the B2B SaaS space. - Ecosystem Knowledge: Proven track record of working with channel partners/resellers and major cloud providers like (AWS, GCP, Azure) or security/infrastructure technology partners. - Background: In cybersecurity and knowledge of industry. - The "Tradeshow" Mindset: You understand that events are about density and trust. You have experience managing logistics and high-stakes networking environments. - Project Management: Exceptional ability to manage multiple stakeholders (internal and external) and meet deadlines. - Tech Stack: Hands-on proficiency with Salesforce and marketing automation (HubSpot/Marketo). Experience with PRM (Partner Relationship Management) tools is a plus. - Communication: You can translate deep technical concepts into value-driven stories for both business and technical audiences. - Travel: Willingness to travel (up to 30%) to key partner hubs and major industry events.   HOW WE HIRE Our process is designed to be straightforward and respectful of your time. We skip performative rounds and focus on what matters: understanding how you think and what you can do. You'll start with a 30-minute recruiter screen, followed by another 30-minute interview with the hiring manager. Then we'll have you meet with other members of the marketing and sales organizations for 30-minutes each, and a final 30-minute round with our CMO.   Why Teleport You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for. Remote-first and globally distributed, we're genuinely passionate about what we're building. The Benefits At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career. - Extensive health coverage - Annual expense budget - Rest and recovery policies that maximize your ability to recharge - Investment in your future with retirement savings plans - Professional development opportunities Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law. Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/

Location: Remote, Canada; Remote, United States 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 Technical Program Manager on GitLab's all-remote R&D PMO team, you will own complex, end-to-end programs that are central to our AI-powered DevSecOps strategy. You will drive high-priority initiatives across product, engineering, data, and security teams, transforming strategic vision into executable plans that deliver innovative capabilities like the GitLab Duo Agent Platform and next-generation developer tools. You will work closely with executive leaders and cross-functional stakeholders, serving as the bridge between strategy and execution through clear communication, proactive risk management, and structured program delivery. In your first year, you will independently lead strategic programs, driving predictable execution, thoughtful tradeoffs between quality and speed, and transparent stakeholder alignment. Some examples of our projects: Leading the GitLab Duo Agent Platform from GA through enterprise adoption, including customer onboarding, support models, and billing integration for AI-driven capabilities Delivering data-intensive platform initiatives that enhance developer productivity and enterprise analytics capabilities Driving infrastructure modernization and scalability programs that support our growing customer base Orchestrating security and compliance initiatives that maintain our industry-leading DevSecOps standards What you will do Lead end-to-end technical programs across product, engineering, data, and security, from initial scope through launch and continuous improvement Collaborate closely with executive leaders and senior stakeholders to translate strategic vision into actionable roadmaps and align on priorities and tradeoffs Coordinate distributed teams across time zones using strong asynchronous communication, providing structure, clarity, and consistent status updates Develop and maintain comprehensive program plans, proactively identifying and mitigating risks and dependencies while facilitating decisions that balance speed, quality, and customer impact Partner with customer success and cross-functional teams to refine communication plans, and operational workflows Champion GitLab's values and culture within programs, fostering collaborative excellence, continuous improvement, and innovation What you will bring Proven experience leading technical program initiatives in product, engineering, data, or security environments, with demonstrated success delivering complex programs from inception through scaled adoption Demonstrated ability to define strategy and create clarity within extreme ambiguity Strong background in SaaS, cloud infrastructure, or DevOps technology companies, with ability to quickly master the GitLab platform and AI/ML initiatives Proven experience influencing and driving impact at a division and company-wide scale, affecting market position and revenue Excellence in cross-functional leadership, with experience partnering with engineering, product, security teams and engaging effectively with senior and C-level stakeholders Outstanding communication skills, including asynchronous collaboration, executive reporting, and the ability to translate technical complexity into clear business impact Track record of success in fast-paced, dynamic environments with evolving technical requirements and market opportunities Strong facilitation and influence skills, with ability to drive consensus across diverse stakeholder groups while building trust through transparency and delivery excellence Expertise in high-level stakeholder management, including masterful communication with Executive Boards and enterprise Customers Collaborative leadership style aligned with GitLab's values, including respect, openness to feedback, and commitment to team success Proven track record of redefining organizational operations and serving as an escalation point to resolve highly complex, enterprise-level challenges Proven experience leading complex reliability programs across multiple engineering organizations Welcome candidates from diverse backgrounds, including those with consulting, enterprise technology, or technical leadership experience who have owned outcomes and delivered transformational initiatives Ability to act as a visionary leader, shaping R&D direction and fostering technical excellence across the organization About the team: The Technical Program Management team sits within GitLab's R&D Program Management Office and drives product, engineering, data, and security initiatives across our AI-powered DevSecOps platform. You will join our growing, distributed team of Technical Program Managers currently spanning North America and Europe. We own the end-to-end delivery of complex, cross-functional programs including AI platform capabilities, enterprise customer initiatives, and strategic technology transformations. As an all-remote team, we excel at asynchronous communication to coordinate across time zones while partnering closely with executive leaders and stakeholders to deliver business-critical outcomes. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. 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. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $203,200 — $345,600 USD 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: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma is building its founding Forward Deployed Engineering team to solve the complex, real-world challenges that emerge when bringing Figma’s products into large-scale enterprise environments and looking for founding Forward Deployed Engineers. As a Forward Deployed Engineer, you’ll embed directly with strategic customers, working across their codebases, design systems, developer environments, and workflows to make Figma’s products successful within their unique technical constraints. You’ll tackle the hardest adoption challenges hands-on, from complex frontend stacks and legacy systems to security and access requirements, while building trusted partnerships with customers’ senior engineering teams. This is a senior/staff-level engineering role within Product and Engineering, not a sales or services function. You’ll work directly in customer environments when needed, using the minimum access required. Your goal is smooth adoption by the customer’s product and engineering teams, which means making complex workflows work simply in their environment and solving the underlying problems You’ll do that hands-on, often by writing Figma product code, then turn what you learn into a reusable path for future customers instead of taking permanent ownership of the customer’s codebase. Working closely with Figma’s Product, Engineering, Sales, and Customer Experience teams, you’ll help shape both the product and how this brand-new function works and scales. The role is highly collaborative, deeply customer-facing, and built for engineers who thrive in ambiguity, take end-to-end ownership, and want to solve the highest-impact problems at the intersection of product, engineering, and customer needs. This role includes periodic travel to work alongside strategic customers in person. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Make an enterprise design system agent-ready so AI tools generate faithful, on-system code: fix tokens, naming, and guidelines, wire up Code Connect, and run evals Get Make Local, Code Layers, and our newest products working in a customer’s real environment, writing code, config, agent skills, and guideline files against their systems and ours Run technical discovery: understand a customer's dev environment, toolchain, and constraints, then scope the fastest credible path to value, in addition to setting the customer up for long term success Debug hard, unfamiliar integration problems (git workflows, CI, dev-environment setup, non-standard stacks) Build LLM-powered workflows: MCP setup, agent skills, and prompt engineering tuned to each customer’s context Turn one-off solutions into reusable playbooks and product feedback, so patterns you solve once become self-serve or shipped product Bring  learnings on friction back to Figma's Product and Engineering teams, influence what gets built next, and often build it We'd love to hear from you if you have: 5+ years shipping production software end-to-end, with meaningful time embedded with customers or partner teams Excellent customer-facing communication and technical partnership skills, with the ability to build trust with senior engineers and translate customer needs into actionable product and engineering solutions Strong engineering fundamentals and adaptability, with the ability to quickly navigate unfamiliar codebases, languages, and technical environments to deliver production-ready solutions Hands-on experience with design systems and design-to-code workflows, including component libraries, tokens, documentation, and the tooling that connects design artifacts to production code Proficiency in TypeScript/JavaScript or Python, including demonstrated fluency with agentic coding tools (e.g., MCP, agent orchestration). You have hands-on experience integrating APIs and SDKs, troubleshooting toolchains and CI environments, and navigating enterprise requirements such as SSO, security reviews, access controls, data residency, and compliance frameworks Comfort owning ambiguous technical problems end to end, identifying patterns across customer engagements, and turning field learning into reusable product improvements While it's not required, it's an added plus if you also have: Background in forward-deployed engineering, solutions engineering, professional services, developer experience, or a similar customer-facing technical role Familiarity with developer tools, design-to-code workflows, or AI/LLM products, including tools such as Code Connect, Storybook, Style Dictionary, or comparable technologies Proven ability to partner cross-functionally with Sales, Customer Experience, Solutions Architecture, or related teams to deliver complex enterprise engagements At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $153,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: San Francisco; Palo Alto; London; Berlin; New York City Perplexity is seeking top-tier AI Research Scientists and Engineers to advance our AI products and capabilities. We're building the future of AI-powered search and agent experiences through our Sonar models, Deep Research Agent, Comet Agent, and Search products. Join us in creating SOTA experiences that handle hundreds of millions of queries and continue to scale rapidly. Team Structure Depending on your interests and expertise, you'll work on one of three specialized teams: 1. Core Research Team (Horizontal) Focus on generating and improving base models that power all our products. This team works on foundational model capabilities, post-training techniques, building RL infra and infrastructure that benefits the entire organization. 2. Agent Products Team (Vertical) Concentrate on fine-tuning and optimizing models for our Deep Research Agent and Labs/Canvas products. This team bridges research and product, ensuring our agent capabilities deliver exceptional user experiences. 3. Comet Agent Team (Vertical) Dedicated to developing and enhancing our Comet Agent product. This specialized team focuses on the unique requirements and optimizations needed for Comet's specific use cases. Responsibilities Research & Development - Post-train SOTA LLMs using the latest supervised and reinforcement learning techniques (SFT/DPO/GRPO) - Leverage our rich query/answer dataset to scale model performance across Sonar, Deep Research, Comet, and Search products - Stay current with the latest LLM research, especially in model training, optimization, and personalization techniques - Implement preference optimization and personalization capabilities to enhance user experience - Invent in-house improvements and optimizations to enhance SOTA models - Turn research ideas into algorithms and run experiments to launch new models Infrastructure & Implementation - Own full-stack data, training, and evaluation pipelines required for model development - Build robust and effective training frameworks (on top of Megatron/PyTorch) for post-training LLMs - Implement necessary infrastructure and components to support cutting-edge model training at scale - Integrate models seamlessly into our product ecosystem Collaboration - Work closely with engineering teams to integrate models into Perplexity's product suite - Collaborate across teams to ensure cohesive AI experiences throughout our platform - Partner with product teams to understand user needs and translate them into model improvements Qualifications Required - Proven experience with large-scale LLMs and Deep Learning systems - Strong programming skills in Python/PyTorch; versatility is a plus - Experience with post-training techniques and reinforcement learning - Self-starter with a willingness to take ownership of tasks - Passion for tackling challenging problems - Minimum 2-6 years of experience on relevant projects (depending on seniority level) Nice-to-have - PhD in Machine Learning, AI, Systems, or related areas - Experience in post-training LLMs with SFT/DPO/GRPO - C++/CUDA programming skills - Experience building LLM training frameworks - Academic publications and research impact - Experience with agent systems and multi-step reasoning - Background in personalization and preference learning

Location: Hybrid - San Francisco About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We are seeking a Senior Deal Desk Analyst to join the Deal Desk team within our Revenue Operations function. This is a high-impact, high-visibility role at the center of how we structure, price, and close business globally — partnering with Sales, Finance, Legal, and Product to turn deals into signed revenue. You will lead the quote-to-contract execution cycle for our global sales team while helping build the systems, processes, and playbooks that scale a world-class Deal Desk. As the organization continues through a period of rapid growth, we are looking for someone who wants to shape the function rather than inherit it — bringing structure to ambiguity, modernizing how deals get done, and raising the bar for commercial excellence. This position reports to the Senior Manager, Global Deal Desk, and is preferably based in a hybrid capacity out of our San Francisco headquarters, working standard US business hours. What you'll do Deal Management — Own the day-to-day deal review and closing process end to end, including deal approvals, deal structuring, and quote configuration within Vercel CPQ, ensuring every deal is executed accurately and on time. Commercialization & Execution — Drive deal execution in close partnership with Finance, Legal, GTM, Partnerships, Product, and Pricing. Design, build, and continuously optimize the sales and deal processes that bring new pricing, packaging, and product launches to market. Trusted Advisor — Serve as the subject-matter expert for the Sales organization, providing deal guidance and operational support. Approach complex, non-standard deals with creativity and sound judgment, developing practical solutions in ambiguous situations. Revenue Integrity — Act as the gatekeeper of data hygiene and opportunity data, partnering with GTM and Finance on audits for revenue recognition, financial reporting, and forecasting. Insights & Enablement — Analyze deal performance and market trends to develop new sales motions, deal levers, and training materials that increase sales velocity and reduce business risk, in partnership with the Pricing and Field Enablement teams. Operational Excellence — Identify opportunities to streamline, enhance, and automate processes. Translate needs into clear business requirements and leverage AI and automation to scale. What you need 4+ years of experience in deal desk, pricing, quote-to-cash, contract management, or a related Revenue Operations or Sales Operations function within the technology sector. A proven record of partnering effectively with Sales and cross-functional teams to move complex deals forward. Demonstrated experience in project management and process improvement. A collaborative team member who consistently delivers excellent sales support. A resourceful self-starter with strong critical-thinking and creative problem-solving skills. You think naturally about operational implications and downstream impact. You thrive in fast-paced, high-growth environments and operate effectively amid change and ambiguity. Nice to have Hands-on experience with Salesforce CPQ (or a comparable CPQ platform) A track record of using AI or automation to improve operational workflows. Bonus if you You’re located within San Francisco Bay Area (HQ). We have offices for you to help build our office culture. This role primarily works on Pacific Standard Time (PST). Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $125,000 - $150,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.