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Granola is looking for a GTM Systems Lead to design, build, and operate the commercial systems and data foundation.

Location: São Paulo, Brazil; Buenos Aires, Argentina; Bogotá, Colombia New opportunities in Latin America! 🟢 Dev.Pro is a US-based software development company helping tech companies build their products and grow their business. We’re remote-first, and we work with independent contractors in over 55 countries, so you’d be collaborating in a multicultural environment on some really interesting projects. We invite a Senior Full-Stack Software Engineer to join our team and work on an orchestration platform for a leading global fintech company. The platform enables business partners to integrate once and offer a growing range of embedded financial products to their clients. In this role, you’ll develop and maintain React.js applications, embeddable widgets, and .NET services, contribute to AWS-based solutions, and support the delivery of secure, reliable, production-ready software. 🟩 What's in it for you: Help shape a growing platform that enables a wide range of embedded financial products Tackle complex engineering challenges across React.js, .NET, AWS, and partner integrations Influence technical decisions, guide the team, and stay hands-on with development ✅ Is that you? 10+ years of experience developing and supporting production software Strong C#/.NET Core skills, including REST APIs, dependency injection, async programming, testing, and secure coding Hands-on experience with React.js, JavaScript/TypeScript, component architecture, state management, HTML, and CSS Experience with PostgreSQL, MongoDB, or similar relational and document databases Experience with microservices, API-first development, third-party integrations, and resilient distributed systems Hands-on experience with AWS, Docker, and Kubernetes/EKS Ability to write automated unit and integration tests and troubleshoot UI, API, data, and cloud issues Experience with Git workflows and CI/CD tools such as GitHub Actions, Jenkins, or GitLab CI Ability to translate requirements into maintainable, well-documented solutions Experience providing technical leadership and guidance to engineering teams Valid U.S. visa and ability to travel to the U.S. for onboarding and knowledge transfer Desirable: Experience with embeddable widgets, micro-frontends, white-label apps, or multi-tenant SaaS Experience with AWS Lambda, Step Functions, ECS batch, S3, KMS, certificate or secret management Exposure to Python services, data pipelines, and unittest Experience with Terraform/Pulumi and GitOps tools (Argo CD) Experience with Splunk, Datadog, Grafana, CloudWatch, distributed tracing, and incident support Background in financial services, payments, embedded finance, lending, or banking 🧩Key responsibilities and your contribution In this role, you’ll combine hands-on engineering with technical leadership to deliver high-quality, reliable software solutions. Develop and maintain React.js applications, portals, and embeddable widgets Build secure REST APIs and microservices using C# and .NET Core Implement business workflows and integrations with finance providers, partners, enterprise APIs, webhooks, file exchanges, and AWS services Design and maintain PostgreSQL and MongoDB schemas, queries, migrations, and data-access patterns Contribute to AWS workloads using EKS, Lambda, containers, and Step Functions or equivalent orchestration Write unit, component, integration, contract, and end-to-end tests Build reusable UI components and improve accessibility, performance, and maintainability Guide engineers and contribute to API/event-contract design, code reviews, architecture discussions, and documentation Support infrastructure automation using CI/CD, Docker, Kubernetes, and infrastructure as code Implement logging, metrics, tracing, and alerts; troubleshoot issues across application layers Collaborate with QA and operations on testing, release readiness, and recovery procedures Our next steps: ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Interview — ✅ Signing the Contract Interested? Find out more: 📋 How to Join Us 💻 LinkedIn Page 📈 Our website 💻 IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

Location: New York, New York, United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . About the role Turing Intelligence builds and ships production AI systems for large enterprises. In banking, capital markets, asset management and insurance, our clients come to us with a hypothesis about where AI can move a P&L line, and we turn it into working software that runs in their core workflows, in a regulated environment, with a measured result. The Client Engagement Lead owns that outcome: from signed SOW through production deployment, adoption, and renewal. You are the client's day-to-day executive counterpart, the leader of a pod of Forward Deployed Engineers (FDEs), and the owner of the engagement's scope, timeline, margin, and expansion. This is not a project-management seat and not an engineering seat. It is an account delivery leader who runs a book of business inside a client, keeps senior stakeholders confident, and holds the engagement to its commercial and delivery commitments. You will not write code, but you need enough technical fluency to scope AI work credibly, challenge your engineers' plans, and explain trade-offs to a client CTO or model-risk team without a translator. What you'll own Client relationship Be the trusted counterpart to client sponsors from working teams to managing directors and C-suite. Own the steering committee, the executive updates, and the hard conversations. Understand the client's business, org, and politics well enough to anticipate what they need before they ask, and to know which stakeholders can stall or accelerate an initiative. Navigate regulated-enterprise complexity as part of the plan, not a surprise at go-live: model risk management, information security review, data residency, procurement, legal, and Responsible AI requirements. Protect the relationship through delivery problems. Bring bad news early, with a plan. Delivery, SOW to production Own engagements end to end. Structure SOWs with clear scope, milestones, dependencies, acceptance criteria, and a value hypothesis before signature. Run the engagement: cadence, staffing, risk and dependency management, decision logs, client communications. Make real-time calls on scope and priority to protect the critical path. Hold the standard that success is adoption and measured impact, not "delivered on time." Define the baseline and KPIs up front and report against them. Set the quality bar with your engineering lead: production readiness, evaluation of model-backed components, and acceptance testing are part of "done." P&L and growth Own the engagement P&L against TI's revenue and margin targets. Manage staffing mix, utilization, change orders, and scope creep to protect gross margin. Forecast accurately and flag variance early. Identify and shape expansion: new use cases, adjacent business units, follow-on SOWs, renewals. Partner with the BFSI GM, who owns the account relationship and revenue number, to convert them. Report value delivered, risks, and key decisions to client sponsors and TI leadership on a fixed cadence. Team leadership Lead a pod of FDEs and delivery staff. Set direction, unblock, and hold the bar on client-facing professionalism and delivery discipline. Partner with your technical lead on architecture and staffing decisions; own the outcome even where you don't own the design. Codify what works into reusable BFSI delivery playbooks, estimation models, and SOW patterns. What you bring Required Collaborative Engagement Lead with sound leadership instincts, a team player who keeps teams motivated under delivery pressure and leads by example, serving as a role model in work ethic, accountability, and client commitment. 8+ years in client-facing delivery or consulting, with at least 3 years leading engagements or accounts for financial services clients (banking, capital markets, asset management, insurance, or payments). Track record of owning engagement or account financials: margin, forecasting, staffing, change orders, renewals. You have led at least one AI, ML, or data-platform program into production at an enterprise and can speak to what the client changed as a result. Executive presence and relationship depth: you have run steering committees, managed MD-level sponsors, and retained accounts through difficult periods. Technical fluency: you can read an architecture diagram, understand how an LLM-based system is built and evaluated, and ask the questions that expose weak plans. You do not need to code. Based in the New York metro area and able to be onsite with clients several days per week. Preferred Engagement management at a technology consultancy, systems integrator, or AI-native delivery firm; or a delivery leadership role inside a bank or insurer's technology or data organization. Familiarity with BFSI regulatory context: model risk management, information security and third-party risk, data privacy and residency. Experience in a two-in-a-box model working alongside a commercial account owner. How we work Two-in-a-box: you own delivery and engagement growth; the BFSI GM owns the account relationship and topline revenue. Small pods of senior FDEs staffed against outcomes, not seats. Bias to shipping. Iterative delivery and clarity over process. Low ego. The outcome matters more than who gets the credit. Compensation and logistics Base salary + Bonus and equity. Hybrid. Onsite with clients in NYC as the engagement requires; occasional travel to other client sites. Reports to the Head of AI Delivery, Turing Intelligence. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Remote Workplace: Remote ABOUT BUFFER We create social media and brand-building software for small businesses, creators, and individuals. Our mission is to provide essential tools to help small businesses get off the ground and grow. Through exceptional customer service and uplifting content, we help our customers believe they can succeed and do good along the way. Buffer is a fully distributed team, and we’ve always aimed to do things a little differently. Since the early days, we’ve focused on building one of the most unique and fulfilling workplaces by rethinking a lot of traditional practices. We also default to transparency, so you can read all about our metrics, and our successes and failures along the way on our Transparency Dashboard https://buffer.com/open. We're united by Buffer's values https://buffer.com/about#values, and we hire and work from all over the world. We strive to create a diverse and inclusive work environment, and we are building a culture where underrepresented groups are welcome and can flourish. Please note that we do travel to work together in person once or twice per year, and those events are highly encouraged to build deeper connections among our small team. As you get to know Buffer and consider joining the journey, you can learn more about Buffer on our Journey https://buffer.com/journey page. Still curious to learn more about the experience on the Buffer team? Feel free to read more from Kirsti https://buffer.com/resources/first-30-days-buffer/ and Sabreen https://buffer.com/resources/joined-3-days-before-the-retreat/ as they share their first experiences with Buffer, as well as from Hailley https://buffer.com/resources/8-years-at-buffer/, who captured why she still calls Buffer home after 8+ years. While unusual at Buffer, we're looking for folks in a specific timezone range. This role is currently open to candidates based between UTC-3 and UTC+3. That gives you overlap with our current security engineer in Sri Lanka and most of our Engineering team, and lets the two of you share incident coverage so neither of you has to work through the night. ABOUT THE ROLE We're hiring a hands-on security engineer to be the tech lead for Buffer's Security team. You'll work alongside Adnan https://www.linkedin.com/in/adnanissadeen/, who has carried security at Buffer for years. Together, you’ll own security and compliance for a 15-year-old profitable company that is rebuilding itself around AI. Two things make this the right moment. Buffer’s product surface is growing: in May, we launched a public GraphQL API with an MCP server and CLI. More than 35,000 organizations have connected an AI tool to Buffer, and we are planning to build a plugin ecosystem on top. Internally, we're becoming an AI-native organization: MCPs on our Claude Team plan, custom connectors, internal tools, and Roo, our own internal agent. We're small and lean, with few processes, and we run on trust around access and permissions. We don't want to lose that, but the surface now grows faster than one person can cover. That means the usual security playbook won't work here. We don't buy enterprise plans for every tool, and we don't make people justify every access request. You’ll make the secure path the easy path to follow. Your role will be to set the direction for security at Buffer and to do much of the work yourself. You'll decide which open security problems to address first, write code to fix some of them, and lead incidents when they happen. We're looking for an enabler and a team player, not a gatekeeper. This is a generalist role by design. WHO YOU’LL WORK WITH You’ll report to Miguel, https://www.linkedin.com/in/migueldavid/ Engineering Manager for the Infrastructure and Security teams. Day-to-day, the Security team is you, Adnan, and Miguel. Adnan knows how everything at Buffer fits together and where the sharp edges are. Together, you’ll own planned security work as well as the work that keeps the lights on: the security inbox, requests from other teams, maintenance, and chores. You’ll lead the team’s direction and standards. You will also work closely with product engineering teams to ensure that what we build meets a strong security bar. That means collaborating on tech spec reviews and growing the group of security champions across the teams. Your peers from our Advocacy (customer support) and People teams will rely on you to support them with security and compliance needs that come up in their work, from customer security questions to vendor reviews and policy. WHAT YOU’LL BE WORKING ON - 🧭 Lead security at Buffer. Define the strategy and roadmap, set priorities, drive execution, and change how we work where it matters. If you see a problem outside your lane, say so and drive the fix. - 🧰 Build. Identify the problem, define the solution, then build it with Adnan: tooling, automation, processes. - 🔁 Put security in the development loop. Check on every PR, threat modeling in tech specs, dependency, secrets, and supply chain hygiene, and review steps that hold up as more of our code is written with AI agents. - 🔐 Advance operational security. Secure our day-to-day operations to meet industry-wide standards while maintaining the flexibility afforded by Buffer’s high-trust environment. - 💡 Keep the lights on. Security inbox, requests from other teams, maintenance and chores, shared with Adnan. Much of this is manual today, and we’d love you to automate what you can. - 🚨 Lead incidents and take part in our engineering-wide on-call rotation. Set the standard for how we run a security incident, then hold the team to it. Run tabletops with the rest of Engineering, and ensure the gaps are fixed. - 🤖 Secure the AI surface. Threat-model what we’re building, from agents with tool access to connectors and in-product AI, and set guardrails so Buffer can move fast on AI without guessing. - 🐛 Run vulnerability disclosure. Triage reports from outside researchers, fix or route the real ones, and decide how the program grows. - 🤝 Own compliance and customer trust. SOC 2 and Meta platform compliance are the big ones today. We want them to make Buffer safer, not only to pass audits, but also to automate evidence where you can. Security questionnaires reach us through Advocacy. Help answer them, and build what lets customers find answers on their own (a Trust Center, for example). HELPFUL SKILLS AND EXPERIENCE - You’ve been the senior security person somewhere without a CISO above you. You know what it means to set direction without a mandate and earn it through work. - You have hands-on application and API security depth in a multi-tenant SaaS, ideally one with a public API: authorization models, OAuth and OIDC, session and auth flows, IDOR and SSRF, and threat modeling. You've found these bugs and fixed them, not only reported them. - You write code. You can read and change a TypeScript codebase well enough to ship a fix and review someone else’s (legacy PHP and Python show up more rarely, too). - You’ve led security incidents end-to-end, including the writing of status updates, customer comms, and postmortems that people act on. - You’ve worked with AWS, Kubernetes, and Cloudflare, or similar, enough to reason about infrastructure risk with an infrastructure team. You don’t need to run it. - You’ve run a SOC 2 or similar program, or worked closely with one, and you’d rather automate evidence collection than do it by hand. - You've run or triaged a vulnerability disclosure or bug bounty program, and you can tell a real report from noise quickly. - You have strong opinions, and you can hold them loosely. You are comfortable disagreeing with a senior engineer’s design, and working together to find the best solution (sometimes changing your mind when their argument is better). - You’re fluent with modern AI tools, and you use them to multiply your output and your team’s. You’ve thought hard about securing systems that use them. - You thrive in remote, async environments, and you follow through. You're clear in your thinking and generous with context, and you close the loop on what you commit to. Most of your influence here will be written. - Bonus points if you’re already a Buffer user or familiar with social media management tools. OUR TECH STACK - Product. Node.js (TypeScript) across most services in a monorepo, backed by MongoDB; a REST API and PHP being retired for legacy services. iOS and Android apps. A public GraphQL API, MCP server, CLI, and connectors. - Infrastructure. AWS (EKS, IAM, SQS, S3, CloudFront), Terraform, ArgoCD, GitHub Actions, Cloudflare (WAF, Zero Trust, Workers, DNS). - Security and compliance. Vanta for SOC 2, Dependabot, gitleaks, AWS GuardDuty, Cloudflare WAF and Zero Trust, Action1 for device management, 1Password, and Google Workspace as the identity layer. - Observability and incidents. Datadog, Sentry, incident.io http://incident.io, and PagerDuty. - AI. Claude Team across the company, internal agents and MCP servers built in-house, in-product AI features. APPLY FOR THE JOB Do you believe you're a fit for this role and want to join the Buffer team? We'd love to hear about you! Here's what our hiring process looks like: 1. Application. A short form with your CV, LinkedIn, a few yes/no questions, and an example of your writing. 2. Questionnaire. If there’s a match, we’ll email you a short set of questions to learn a bit more about you! 3. Interview process: Meet with several teammates across a few Zoom calls, starting with Miguel https://www.linkedin.com/in/migueldavid/, Engineering Manager for Infrastructure and Security, and the hiring manager for this role, and then a handful of other Buffer teammates and peers. 4. Take-home exercise. During our interview process, we'll ask you to do an asynchronous task so we can see your work in practice and discuss it live. 5. Meet the CEO. Get to know Joel https://www.linkedin.com/in/joelgascoigne/, our Founder CEO. 6. Collaboration period. Two paid days working with the team on a real project, so that we can each see what it's like to work together. PRIVACY POLICY By submitting the application, you consent to Buffer collecting and processing your personal data for recruiting purposes. Find more details in our Privacy Policy https://buffer.notion.site/Privacy-Policy-for-Applicants-230a7f5a00fd80e48478f09171d18a24?pvs=143.

Location: Remote (Canada) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $169 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. ABOUT THE ROLE As Lead, Learning & Employee Experience, you own the experiences that shape how it feels to join, learn and grow at Wealthsimple: our onboarding and learning programs, and the employee events that bring Wealthsimplers together in person and remotely. You design, deliver and run all of it, end to end. This is a hands-on facilitation role reporting to our Senior Lead, Program Manager within People Operations, so you will be in front of a room regularly and often, and you will be exceptional at it. In your first 6–12 months, success looks like new hires getting productive faster, leaders ready to run a team well from their first quarter, and company-wide events that send people back to their teams more connected and clearer on what we’re building and why. ABOUT THE TEAM Our Employee Experience team sits within People Operations and owns the experiences that define life at Wealthsimple: new employee onboarding, learning and development, mandatory and compliance training, and the company-wide events that bring us together. We’re a small, high-autonomy team that partners closely with Talent Acquisition, People Systems, Communications, IT, Brand and departmental leaders across the business. We’re in a build-and-scale phase, modernizing how we deliver learning, automating the operational backbone of onboarding, and raising the standard for our employee events and experiences. WHAT YOU’LL DO - Own new employee onboarding end to end. Design, deliver and run every cohort, from pre-boarding communications through to the live sessions, and build tailored paths with department leaders. Same for new leader, intern and returning-employee onboarding. - Facilitate, regularly and often. You will lead live learning and onboarding sessions for groups of ten to sixty-plus, in person and remotely. This is core to the job, not an occasional add-on, so you need to love it and be great at it. - Design, develop and oversee our key employee events, delivered both in person and remotely and thinking about how these fit together in a cohesive way. You own the plan and the day: experience and agenda design, workback, budgets and vendors, executive briefings, communications, registration and production. - Build and run our learning programs. Design the curriculum, from leadership foundations to mandatory and compliance training, build it in our learning platform yourself, and own the logistics that keep it running. - Measure what you build and bring people with you. Create the feedback loops that show whether a program is working, and keep Talent, Communications, IT, Brand and senior leaders aligned so it lands. You ship, learn, and iterate - no program you own is ever delivered the same way twice. SKILLS YOU'LL BRING - 5+ years designing, delivering and running onboarding, learning or employee experience programs, owning them end to end rather than executing someone else’s design. - Demonstrated excellence as a facilitator: you’ve led live sessions regularly for mixed and senior audiences, in person and remotely, and can speak to how you hold a room, adapt in the moment and land the outcome. - Hands-on experience planning and producing employee events from concept to delivery, covering experience design, budgets, vendors, communications and logistics, with real accountability for the result. - Instructional design and curriculum-building experience: you can turn a business need into a program people actually learn from, and build it in a learning platform yourself. - A data-driven approach: you build measurement in from the start and let feedback and metrics decide what changes. You use good judgement when leveraging AI tools to speed up content design, maintenance and program operations. NICE TO HAVE - Hands-on experience building in a learning management system (Docebo or similar) - Experience producing multi-day employee events for 200+ attendees - Formal instructional design or facilitation training WHO YOU ARE - Energized by a room. Facilitating is the part of your week you look forward to, and it shows. - High agency. You see a gap and close it, and you’d rather ask forgiveness than permission. - Unflappable on event day. Things go sideways, you solve them quietly, and the room never knows. - Detail-obsessed about the operational backbone. You know a great experience is logistics done invisibly well. - A builder, not a maintainer. You’d rather rebuild something properly than keep patching it. - Comfortable with ambiguity and shifting priorities, and able to keep momentum without waiting to be told. - Human first. You genuinely care how it feels to be new, to be learning, or to be led. WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE More than 7 million developers use Render, and most of them found us through other developers. We're building a team to further drive this developer led growth. As our first Developer Programs Lead, you'll own Render's social presence, developer community, developer programs, and developer voice. You'll set the strategy across all four areas, decide where to hire, where to use agencies or creators, and in what order. You'll report to Raph Terrier, Head of Developer Experience. The DX team owns content: tutorials, videos, docs, and articles. Your team owns how Render sounds, how that content reaches developers, and the programs and community around it. You'll also work closely with our VP of Marketing, product marketing, and product. WHAT YOU'LL DO - Build and lead the team - Set the strategy and goals for social, community, developer programs, and developer brand. - Decide what to build first, what to hand to agencies or contractors, and when to hire. Then hire and manage the team. - Report on what's working to Developer Experience and Marketing leadership, and change course when something isn't. Own Social - Run Render's accounts on X, LinkedIn, and Reddit yourself at first. Write the posts, reply to developers, and join the conversations where Render has something useful to say. - Set the channel strategy: where we show up, how often, and what we measure. - Handle the hard moments in public, including outages, pricing changes, and sharp criticism, with the right people inside Render. Grow our Developer Community - Build Render's presence in Discord, Reddit, and the other places developers gather, with the DX team. - Run AMAs, livestreams, and community events with DX. - Bring what you hear from developers back to Product and Engineering. Run developer programs - Build programs that grow Render's reach through other people: developer creators, ambassadors, referrals, speaking, and employee advocacy. Own the developer voice - Define Render's voice and style for developers, and write it down so engineers, product managers, and marketers sound like Render when they write or post. - Work with the VP of Marketing and product marketing on Render's external narrative and how each launch shows up in public. WHAT WE'RE LOOKING FOR - 7+ years across social, community, developer marketing, or brand, including time building or leading a function at a growing company. - Experience hiring and leading a team, or building a function from early stage with a clear plan for who to add and when. - Recent hands-on ownership of a company's social channels. You can show us accounts you ran and copy you wrote. - Experience building a developer community or program, with results you can explain. - Experience shaping a brand voice, and examples of how it changed the way a company sounded. - Fluency with developer audiences and enough technical comfort to write accurately about infrastructure, with the judgment to check with an engineer first. - You work without a playbook and with little direction across Marketing, Product, and Engineering. - Steady judgment when something goes wrong in public. NICE-TO-HAVES - Experience at a developer tools, cloud, or infrastructure company. - You've run a creator, influencer, or ambassador program. - An active personal presence on X, LinkedIn, YouTube, or another platform developers use. - Comfort on camera or behind a mic. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Ваши задачи: Как руководитель: Управление командой: Координация работы двух менеджеров колл-центра, составление графиков, распределение нагрузки. Контроль качества и KPI: Прослушивание звонков, контроль соблюдения стандартов сервиса (забота, а не давление), анализ конверсии «Лид → Визит» и выполнение планов.

Location: Palo Alto, California, United States; San Francisco, California, United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role Overview: Every project we run starts with people: software engineers, PhDs, physicians, lawyers, linguists, designers and other experts whose work trains and evaluates our customers' AI models. When a project needs 20 or 500 of them, the request comes to our Talent Matching team. We commit to a hiring timeline, find and assess the talent, and get them working by the date we promised. The Marketplace Operations Lead takes on the hardest of those requests: US-based roles, role types we've never hired for before, and large, urgent hiring pushes where a delay is visible to the customer. When a project is falling behind, you'll be the first person we call. You'll pull in our sourcing, assessment, talent operations and onboarding teams to get it back on track, and you'll stay on it until the talent is working. This is a senior individual-contributor role with a lot of room to grow. You'll work from our San Francisco or Palo Alto office, partner closely with matching teams in other time zones, and help set the standard for how the whole team plans, communicates and escalates. As the matching organization grows, we expect this role to grow with it. Key Responsibilities: Hiring requests and timelines Pick up new hiring requests the same day they come in. Work through the requirements with the project team, flag risks early, and commit to a hiring timeline you can stand behind: how many people by which date, and what you need from the project team to get there. Be the single point of contact for the project team, and know the status of every open position without having to ask anyone. Decide how each kind of candidate should be assessed, and design the screening with the project team so it protects quality without adding days to the process. At-risk hiring and escalations Raise a flag the moment a hiring timeline is at risk, and bring a plan to recover it. Use every option available: adjust requirements with the project team, open new sourcing channels, bring in staffing partners, adjust pay rates within approved limits, and step in on screening, scheduling or candidate calls when something stalls. Be the person project leaders escalate to and trust to fix it, including outside normal hours when a large hiring push needs it. US and specialized talent Own hiring for US-based roles end to end, from sourcing strategy through assessment to start date. Take on new and unusual role types, and turn each one into a playbook the rest of the team can reuse. Metrics, tools and the team Know your numbers cold: time to first hire, hires against the committed timeline, quality after start, and how many positions are at risk and for how long. Report them in a short, standard format leadership can read in a minute. Work hands-on with our product and engineering teams on our matching platform, AI interviewer and assessment tools. Use them every day and send back specific feedback on what's slowing you down. Raise the bar for the team around you through clear process, sharp written updates and coaching in the moment. Basic Qualifications: 5+ years in fast-moving operations roles, such as marketplace or supply operations, strategy and operations, consulting, early-stage startup operations or staffing. A track record of taking something that was off track and getting it delivered on a hard deadline, including the parts that weren't your job. A steep learning curve. You get up to speed on an unfamiliar domain quickly enough to judge what good looks like, whether that's a software engineer, a physician or a linguist. Excellent communication, written and in person. You give senior stakeholders and customers a clear picture in a few lines, especially when the news is bad. You work well with product and engineering. You adopt tools that are still being built, find what's broken, and turn it into specific, useful feedback. Comfort with data. You build your own reports in spreadsheets or SQL, and you manage your work from the numbers. High hustle and high ownership. When a step owned by someone else stalls, you step in and do it. Based in the San Francisco Bay Area and able to work from our San Francisco or Palo Alto office Preferred Qualifications Experience in a two-sided marketplace, or at an AI data, annotation or expert-network company. Experience running a supply or hiring funnel at volume (sourcing, screening, onboarding). Experience leading or mentoring a team. Experience working with distributed teams across the Americas, Europe and India. Hands-on use of AI tools in your own work. How we work One owner per position. The person who owns the position owns the outcome, even when other teams do part of the work. Speed matters. We measure ourselves in days, and we're working toward hours. Flag problems early, with a plan. The only failure we don't accept is a surprise. Low ego. The outcome matters more than who gets the credit. Compensation and logistics $150,000 – $230,000 + equity Onsite in San Francisco or Palo Alto, with occasional travel. Reports to the Head of Platform Operations. #LI-VC1 Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: San Francisco; New York City Workplace: Hybrid As Customer Success Lead at Perplexity, you’ll lead the team responsible for helping enterprises adopt Perplexity Computer and our API products, turning adoption into measurable business value. You’ll own the customer success strategy and operating model, lead CSMs across customer segments, and be accountable for gross and net revenue retention across the post-sale book, with expansion targets shared with Sales. This is a hands-on leadership role. You’ll stay close to customers and the product while building the team, programs, and cross-functional partnerships that help us scale. Responsibilities - Own gross and net revenue retention for the customer base, including renewal forecasting, risk management, and expansion targets shared with Sales - Set the customer success strategy, and coverage model across high-touch Enterprise, scaled SMB and Mid-Market, and technical API customers - Hire, coach, and develop CSMs across customer segments, establishing a regular cadence of 1:1s, account and renewal reviews, and a clear bar for performance and product expertise - Build the playbooks the team runs on, including Sales-to-CS handoffs, onboarding, customer success plans, health scoring, executive business reviews, and escalations - Partner with Applied AI and Enablement to build onboarding, workshops, champion programs, and scaled education that help customers reach first value and sustain adoption - Help customers connect adoption and consumption to business outcomes, understand usage and cost trade-offs, and build a clear case for renewal and expansion - Partner with Sales to identify self-serve customers ready to move to Enterprise and to plan expansion in named accounts - Work with RevOps and Finance on capacity planning, account assignment, book-of-business design, and accurate reporting in Salesforce - Partner with cross-functional teams to deliver a cohesive customer journey, with clear ownership and handoffs from onboarding through adoption, renewal, and expansion - Coordinate customer readiness and communications for product launches, migrations, pricing and usage changes, and incidents, partnering with Product, Marketing, Support, and Engineering on accurate guidance - Bring customer needs and recurring friction into product planning, and close the loop with customers on decisions and progress - Engage executive sponsors at our largest accounts and step in personally on strategic adoption efforts, high-stakes renewals, and escalations while building the team’s ability to own day-to-day execution You may be a good fit if - You have 10+ years in customer success, account management, or post-sales roles at enterprise software companies - You have 5+ years leading CS teams, with a track record of hiring, coaching, and developing high-performing CSMs - You’ve owned GRR and NRR targets and can show how your team moved them - You’ve built or rebuilt a CS function during rapid growth, not only run an established one - You’ve run both high-touch and scaled or digital coverage models and know when each one fits - You can show how your team helped customers move from initial onboarding to sustained adoption and measurable business outcomes - You’re comfortable with usage and consumption data, and ideally have supported usage-based or API products - You have strong command of Salesforce, forecasting, and customer health tooling - You’re hands-on with AI products and can build enough product fluency to understand customer workflows, diagnose adoption barriers, and earn trust with business and technical stakeholders - You communicate clearly with executive buyers, administrators, and technical teams, including during sensitive product changes or escalations - You’re comfortable operating without an established playbook, using AI and automation where they improve execution and knowing where human judgment matters

Location: San Francisco; New York City Workplace: Hybrid As Customer Success Lead at Perplexity, you’ll lead the team responsible for helping enterprises adopt Perplexity Computer and our API products, turning adoption into measurable business value. You’ll own the customer success strategy and operating model, lead CSMs across customer segments, and be accountable for gross and net revenue retention across the post-sale book, with expansion targets shared with Sales. This is a hands-on leadership role. You’ll stay close to customers and the product while building the team, programs, and cross-functional partnerships that help us scale. Responsibilities - Own gross and net revenue retention for the customer base, including renewal forecasting, risk management, and expansion targets shared with Sales - Set the customer success strategy, and coverage model across high-touch Enterprise, scaled SMB and Mid-Market, and technical API customers - Hire, coach, and develop CSMs across customer segments, establishing a regular cadence of 1:1s, account and renewal reviews, and a clear bar for performance and product expertise - Build the playbooks the team runs on, including Sales-to-CS handoffs, onboarding, customer success plans, health scoring, executive business reviews, and escalations - Partner with Applied AI and Enablement to build onboarding, workshops, champion programs, and scaled education that help customers reach first value and sustain adoption - Help customers connect adoption and consumption to business outcomes, understand usage and cost trade-offs, and build a clear case for renewal and expansion - Partner with Sales to identify self-serve customers ready to move to Enterprise and to plan expansion in named accounts - Work with RevOps and Finance on capacity planning, account assignment, book-of-business design, and accurate reporting in Salesforce - Partner with cross-functional teams to deliver a cohesive customer journey, with clear ownership and handoffs from onboarding through adoption, renewal, and expansion - Coordinate customer readiness and communications for product launches, migrations, pricing and usage changes, and incidents, partnering with Product, Marketing, Support, and Engineering on accurate guidance - Bring customer needs and recurring friction into product planning, and close the loop with customers on decisions and progress - Engage executive sponsors at our largest accounts and step in personally on strategic adoption efforts, high-stakes renewals, and escalations while building the team’s ability to own day-to-day execution You may be a good fit if - You have 10+ years in customer success, account management, or post-sales roles at enterprise software companies - You have 5+ years leading CS teams, with a track record of hiring, coaching, and developing high-performing CSMs - You’ve owned GRR and NRR targets and can show how your team moved them - You’ve built or rebuilt a CS function during rapid growth, not only run an established one - You’ve run both high-touch and scaled or digital coverage models and know when each one fits - You can show how your team helped customers move from initial onboarding to sustained adoption and measurable business outcomes - You’re comfortable with usage and consumption data, and ideally have supported usage-based or API products - You have strong command of Salesforce, forecasting, and customer health tooling - You’re hands-on with AI products and can build enough product fluency to understand customer workflows, diagnose adoption barriers, and earn trust with business and technical stakeholders - You communicate clearly with executive buyers, administrators, and technical teams, including during sensitive product changes or escalations - You’re comfortable operating without an established playbook, using AI and automation where they improve execution and knowing where human judgment matters

Plasma is looking for a Growth Lead Performance Marketing to own and scale paid acquisition across consumer and business products.

Location: London Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU’LL DO - Design, build, and deliver enablement programs that drive productivity across our fast-growing European sales and sales engineering teams, including supporting new hire onboarding cohorts as they ramp in seat, in region. - Use AI tools to create content faster, run AI-driven role-play and call coaching, and give sellers self-serve answers to their questions. - Own training on the tools EMEA sellers and SEs use daily for account research, call prep, call recaps, pipeline updates, and drafting outreach and proposals. - Teach sellers when to trust AI output, how to verify it, and how to handle customer data under EU privacy and regulatory requirements (GDPR, EU AI Act), so every seller can explain, demo, and stand behind how Sierra uses AI with customers. - Create playbooks and programs, track adoption and impact (tool usage, time saved, ramp speed, deal velocity), and report results to EMEA and global sales leadership. Turn the best field practices into shared prompts, playbooks, and workflows for the global enablement team. - Localize and launch global sales plays in EMEA (flagging any that don’t translate), collect field feedback for the global Programs Lead, and support regional launches with Sales Leadership and Marketing. WHAT YOU’LL BRING - 5+ years in sales enablement at a B2B software company, with exposure to both onboarding and plays - Experience adapting centrally built programs for a regional audience - Evidence of leadership: prior people management, or leading projects and mentoring others, and a genuine interest in leading a team - Credibility with senior sales leaders and experienced sellers and SEs, and a strong facilitator - Hands-on, daily use of AI tools in your own work, and experience teaching others to adopt new tools and change how they work - Comfortable working independently with a team several hours behind you EVEN BETTER… - Experience in AI or enterprise software - Additional European languages - Experience as the first enablement hire in a region - Experience hiring or building a team - Experience running an AI fluency or AI tooling program for a sales team - Familiarity with the EU AI Act or GDPR as they apply to how sales teams use AI OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: London, United Kingdom Workplace: onsite Inspire Future Business Leaders. Lead with Creativity. Deliver Real-World Impact. Are you an experienced Higher Education professional with the subject expertise and academic leadership skills to shape the next generation of business professionals? The London College of Contemporary Arts (LCCA) is seeking a Subject Lead – Business Management to join us in January and take ownership of a key curriculum area within our Business School. This is an exciting opportunity to lead curriculum development and academic delivery across the BA Business Management programme, helping to create an engaging, inclusive and industry-relevant learning experience. You will combine teaching with subject leadership, supporting academic colleagues, strengthening academic standards and helping students develop the knowledge, confidence and practical skills needed to succeed in the modern business world. About LCCA At LCCA, we believe education should go beyond the classroom. Our teaching philosophy combines academic excellence with real-world industry experience, ensuring students graduate with the confidence, knowledge and practical skills needed to succeed in their chosen careers. We are proud of our diverse student community and are committed to creating an inclusive environment where every student feels supported, valued and empowered to reach their full potential. About the Role As Subject Lead, you will play a central role in the design, development and delivery of the BA Business Management programme. Working closely with the Course Director and wider academic team, you will lead curriculum innovation within your subject area and ensure that teaching remains academically rigorous, engaging and relevant to current industry practice. You will contribute to teaching across undergraduate levels while supporting colleagues to deliver a consistent and high-quality student experience. You will also help oversee assessment, standardisation, quality assurance and academic enhancement activities. The role will support curriculum delivery across areas including: Marketing, digital transformation and e-business Leadership, management and organisational behaviour Entrepreneurship and innovation Strategy, sustainability and global business Business finance and economy Our delivery model is flexible and responsive to the needs of our students. Teaching takes place across weekdays, evenings and weekends, with colleagues participating in an agreed rota. Key Responsibilities You will: Lead the design, development and delivery of modules within Business Management and Entrepreneurship. Teach and assess students across undergraduate levels. Support student engagement, progression, retention and attainment. Ensure teaching materials and learning activities are inclusive, engaging and academically rigorous. Lead key aspects of programme delivery, including assessment, moderation, standardisation and quality assurance. Support and collaborate with academic colleagues to enhance teaching practice. Embed experiential learning, reflective practice and continuous feedback throughout the curriculum. Promote the use of contemporary industry insight and real-world business challenges within teaching. Build and maintain links with industry to enrich the curriculum and strengthen student employability. Contribute to curriculum review, course monitoring and continuous academic enhancement. Support academic governance and regulatory processes. Maintain accurate and timely academic records. Engage in research, scholarship or professional practice to maintain current subject expertise. Contribute to a positive, inclusive and collaborative academic culture. About You We are looking for a passionate educator and subject specialist who can combine academic leadership with engaging, student-centred teaching. You will be comfortable working in a fast-paced environment and able to balance teaching, curriculum development, quality assurance and colleague support. Essential Requirements You will have: A degree and postgraduate qualification in Business Management, Entrepreneurship or a closely related discipline, or equivalent professional experience. A recognised teaching qualification, such as a PGCert in Higher Education or equivalent. Experience teaching and assessing students in Higher Education. A strong track record of curriculum design and the delivery of engaging learning experiences. Experience contributing to or leading an academic programme, module or subject area. Knowledge of assessment, moderation, academic standards and quality assurance processes. An understanding of student engagement, progression, retention and attainment within Higher Education. The ability to support and collaborate effectively with academic colleagues. Strong communication, organisational and problem-solving skills. A commitment to inclusive teaching, equality, diversity and widening participation. Desirable Requirements It would be advantageous if you have: Fellowship of Advance HE at FHEA level or above. A PhD or other higher research degree in a relevant discipline. Experience leading curriculum development or programme enhancement. Strong professional or industry connections within business-related fields. Relevant commercial, consultancy or entrepreneurial experience. Experience supporting diverse or international student communities. The Qualities You Will Bring You will be: Student-centred, with a commitment to inclusive and engaging teaching. Innovative in your approach and confident bringing new ideas to life. Collaborative and supportive, with the ability to inspire students and colleagues. Organised and adaptable, with the ability to manage competing priorities. Committed to academic quality and continuous improvement. Passionate about preparing students for successful, real-world careers. Why Join LCCA? Join a growing Higher Education provider with ambition and momentum. Be part of a creative, collaborative and inclusive academic community. Work in an environment where industry practice and education intersect. Influence the development of future-focused business education. Play a key role in shaping student experiences, outcomes and employability. Contribute to curriculum innovation and academic enhancement. Access professional development, training and career progression opportunities. What We Offer Competitive salary Annual leave entitlement Pension scheme Season Ticket Loan, subject to eligibility Vision Express Eye Care Vouchers Professional development and training opportunities Employee wellbeing support and counselling services Employee discounts and rewards platform Refer-a-friend scheme Career progression opportunities Staff social events and networking activities Career Development and Progression At LCCA, we are committed to investing in our people and supporting long-term professional development within Higher Education. As Subject Lead, you will have opportunities to broaden your experience across curriculum leadership, academic quality, programme development and educational management. The role can support progression into positions such as: Course Director Associate Dean Academic Director Learning and Teaching Lead Academic Quality Lead Higher Education Leadership Roles As a growing institution, we encourage colleagues to develop new skills, undertake further qualifications and explore opportunities for internal progression. Our Approach LCCA is committed to creating an inclusive learning and working environment. We welcome applications from candidates of all backgrounds and are dedicated to ensuring our workforce reflects the diversity of our student community. Recruitment Adjustments We are committed to providing reasonable adjustments for candidates who require support during the recruitment process. Please contact the LCCA Talent Acquisition Team at collegedivisionrecruitment@gus.global to discuss any adjustments you may need. Right to Work Applicants must have the right to work in the UK. Please note that LCCA is unable to provide visa sponsorship for this position. Additional Information LCCA operates seven days a week. Evening and weekend teaching will therefore be required as part of an agreed rota. Apply Now If you are passionate about outstanding teaching, academic leadership and preparing students for successful careers in business, we would love to hear from you. Click Apply to submit your application and help us bring business education to life at LCCA.

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for an L3 Support Engineering Lead to help grow a small team responsible for resolving Nebius' most complex customer issues. This is a hands-on technical role that combines deep troubleshooting with day-to-day team leadership. You will provide technical direction, help organize the team’s work and step into complex investigations when your expertise is needed. You will not be expected to personally own every difficult ticket or manage the team from a distance. The L3 team works closely with L2 Support, pre-sales, post-sales, customer engineering and product teams. It brings deeper subject-matter expertise to issues that require advanced investigation or a broader understanding of the Nebius platform. This is a remote position in North America. Your responsibilities will include: Lead and support a small, distributed team of L3 Support Engineers. Help plan, prioritize and distribute work based on customer impact, technical complexity and team capacity. Provide technical guidance and hands-on support for complex or high-impact customer issues. Coach engineers, share knowledge and help the team become increasingly independent. Build strong working relationships with L2 Support, pre-sales, post-sales, customer engineering, product and engineering teams. Make sure escalations include the technical context, evidence and customer information needed by the receiving team. Identify whether an issue belongs to the platform, a customer environment or another technical area, and involve the appropriate specialists . Maintain high standards for troubleshooting, documentation, handoffs and customer communication Identify recurring issues and gaps in tooling, documentation, processes or team knowledge, and help drive practical improvements. Support team planning, coverage and forecasting as the organization grows. Participate in scheduled operational or duty work when specialist expertise is required . This may occasionally include work outside standard business hours. Contribute to hiring and onboarding additional engineers as the team expands. We expect you to have: Strong hands-on experience troubleshooting complex production, cloud or infrastructure-related issues. Experience leading technical work, mentoring engineers or coordinating a small team or task force. Clear and confident communication with customers, engineers and cross-functional stakeholders. Strong working knowledge of Linux environments. Experience with Kubernetes and container-based platforms. A practical understanding of infrastructure fundamentals, including networking and storage. Familiarity with block, file and object storage and the ability to investigate issues across these technologies Sound judgment when working through ambiguous or high-impact technical problems. The ability to organize work, set priorities and keep multiple stakeholders aligned. You do not need to be an expert in every technical area. We are looking for someone with broad familiarity across the following domains and deeper expertise in at least one: AI and ML operations, such as model deployment, fine-tuning, inference or performance troubleshooting. Workload scheduling in GPU or high-performance computing environments, including tools such as Slurm . Kubernetes and its supporting technology stack. Cloud infrastructure, networking and storage. Fluent written and spoken English. It will be an added bonus if you have: Experience supporting GPU cloud infrastructure or AI/ML workloads. Experience planning or troubleshooting model deployments. Familiarity with Python or Bash scripting and technical automation. Experience working in a technical support, SRE, production operations or customer engineering organization. Experience collaborating with globally distributed teams that provide 24/7 customer coverage. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $179,500 — $224,300 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE The Robotics Applied Research Lead establishes and leads Humanoid’s AI research and engineering function. You decide which Physical AI data problems we work on, define how we test them, and stay directly involved in the most important technical work. You connect four areas that often sit apart: 1. Multimodal and embodied data 2. Transformer-based models and how data impacts robot policies 3. Rigorous offline and real-world evaluation of policies 4. Deployment of models in the data ecosystem This is a player-coach role. In the first year, at least half of your time is direct technical work: designing models and experiments, reviewing or writing code, inspecting data, debugging training, examining failures, and reviewing robot rollouts. You will also build a small research and engineering team. Add people only when the work requires them. MANDATE Turn Humanoid data and technical access into measurable advances in Physical AI systems. You own the answers, and the evidence, to questions such as: - Which model families should we train, adapt, or evaluate? - Which data produces meaningful gains in robot performance? - What coverage, sensors, annotations, and quality controls do the models require? - Which offline measurements predict real-world robot performance? - Where should we adapt existing open models rather than train from scratch? - What should Humanoid build itself, and what should it reuse or obtain through partners?   WHAT YOU'LL DO - Set the technical direction: Define a focused research and engineering roadmap. Select a small number of high-value bets with clear hypotheses, baselines, milestones, and stop criteria. Decide what we build, adapt, license, or access through partners. Drop work that no longer has a strong case. Likely scope includes vision-language-action models, multimodal Transformers, robot foundation models, action representation, imitation and reinforcement learning, world models, cross-embodiment transfer, data-efficient adaptation, and robot-policy evaluation. - Own Transformer research and engineering: Design, adapt, train, and evaluate Transformer-based systems for embodied tasks. Make the architecture and training decisions yourself. Start from strong existing models and baselines. Train from scratch only when evidence supports the cost. Build or review the critical code. - Connect models to data strategy: Define the data needed to train and evaluate the selected models. Specify sensors, modalities, annotations, mixtures, and quality controls. Measure the effect of data quality, diversity, and composition on model behavior. Distinguish data volume from data value. You set technical data requirements; you do not run annotation workforces or field collection. - Own evaluation: Establish offline and real-world evaluation systems, baselines, held-out conditions, and release gates. Guard against leakage, overfitting, and weak success definitions. Compare offline metrics with real-robot outcomes. A benchmark score alone is not a successful result. The evaluation must support a decision. - Move work onto physical systems: Take projects from problem definition through training, hardware integration, and real-world testing. Design safe test plans and staged deployment. Analyse failures across data, perception, model, control, hardware, and environment. Validate material claims on physical systems. - Build a small technical team: Recruit a few complementary researchers and engineers. Lead architecture, experiment, code, and failure reviews. Keep the team focused on validated results, not paper count, benchmark theatre, or headcount. - Represent the function and own responsible development: Explain the strategy to customers, partners, and investors. Convert customer needs into testable technical requirements. State uncertainty and limits clearly. Define safety constraints, supervision, and rollback paths for physical trials. Require reproducible evidence before making capability or safety claims.   WHAT WE'RE LOOKING FOR - Deep, direct Transformer expertise: This is a hard requirement. You must have personally made material architecture or training decisions in one or more substantial Transformer-based systems, such as vision Transformers, VLMs, VLAs, multimodal foundation models, Decision Transformers, diffusion Transformers, video Transformers, world models, or Transformer-based perception, planning, or control. You should be able to explain, in detail, how you represented inputs and outputs, tokenized data, fused modalities, structured attention and temporal context, chose losses, built the data mixture, distributed and monitored training, diagnosed failures, and what you personally changed and why it affected task performance. Using hosted model APIs, prompting language models, or running an unchanged public training recipe does not meet this requirement. - Physical AI or embodied-system experience: You have worked on machine learning for a system that perceives or acts in the physical world: robotics, autonomous vehicles, drones, industrial automation, manipulation, mobile robots, humanoids, wearable or egocentric systems, or similar. At least one substantial project progressed beyond an offline dataset into a real or operational physical system. Simulation-only experience is not sufficient unless you also owned credible sim-to-real transfer and physical validation. - Hands-on technical ability: You write and review high-quality Python. You work directly with PyTorch or an equivalent framework. You can read unfamiliar model and training code, design and debug experiments, inspect failures and rollout traces, work with large multimodal datasets, and make informed decisions about compute, memory, latency, and cost. - Technical leadership: You have set direction for important technical work: a research or engineering group, a major model or robotics programme, or a cross-functional project you owned. You have hired or mentored researchers or engineers, made architecture and resource decisions, stopped weak work, and taken a result into deployment. A management title is not required. Direct ownership is. - Evaluation, communication, and judgment: You design held-out tests, run controlled comparisons, find leakage and confounds, and report results with appropriate uncertainty. You separate evidence from belief, state what remains unknown, and reduce broad research questions to testable work. - Strong preference - Computer Vision: We are particularly interested in candidates who combine deep expertise in Transformer architectures with a strong background in computer vision. Relevant experience may include visual representation learning, vision-language models (VLMs), video and temporal modelling, object detection, segmentation, tracking, multi-view and egocentric vision, 3D and spatial reasoning, pose estimation, calibration, localisation, sensor fusion, or real-time vision systems. - Education: A PhD in machine learning, computer vision, robotics, computer science or a related field is valuable but not required. An equivalent record of original model work, technical leadership, and real-system delivery is sufficient. We care more about what you personally designed, trained, tested, and deployed than about a specific degree or number of years. NICE-TO-HAVE: - Technical expertise: Experience with VLA or robotic foundation models, action generation, diffusion or flow-matching policies, imitation learning, reinforcement learning, world models, robotic manipulation, cross-embodiment training, sim-to-real transfer, distributed training, ROS 2, or safety-critical systems. - Additional experience: Research publications, open-source contributions, early-stage company experience, or direct collaboration with technical customers and research partners.   WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

- Развивать backend-сервисы на Go и архитектуру платформы. - Обеспечивать надёжность, безопасность и масштабируемость системы.

• Разработка и реализация Retention / CRM-стратегии. • Управление player lifecycle: activation → retention → reactivation → churn prevention.

— Построение и управление баинг-командой (FB); — Масштабирование трафика (фокус на Tier-1) и контроль результатов.