Вакансии

Location: Remote; Europe; United States; New York 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 company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - 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 Direct Tax Lead to own our US income tax provision, compliance, and controls, reporting to the Head of Tax. ElevenLabs operates through its US entity and ~9 international entities and is growing fast, which means the provision, the compliance calendar, and the controls around them need a dedicated owner. This is a hands-on ownership role. The provision and returns are prepared by external providers; you manage those engagements and are accountable for the output. You'll own the quarterly and annual ASC 740 provision (deferreds, valuation allowance, uncertain tax positions, rate rec, footnote disclosures), the US federal and state compliance calendar (returns, extensions, estimated payments), and the technical work underneath it: §174 capitalization, §382 and NOL tracking. You'll also assist in designing, documenting, and operating controls, and write the memos that support our positions, working directly with our Big 4 advisors and external auditors alongside the Head of Tax. REQUIREMENTS - Deep ASC 740 expertise at a multinational — provision, deferreds, valuation allowance, uncertain tax positions, rate reconciliation, and footnote disclosure - Experience owning a US federal and multistate compliance calendar (returns, extensions, estimates) - Working knowledge of US international provisions (NCTI/GILTI, Subpart F, FDDEI, §163(j)) and how they flow into the provision - Experience managing Big 4 or equivalent providers and working directly with external auditors - Has built or operated SOX controls over tax, or supported a first SOX implementation - CPA Bonus: pre-IPO or first-10-K experience, §174/§41 computation, §382 studies, equity compensation tax (ISOs, NSOs, RSUs), OneSource Tax Provision or similar. GROWTH POTENTIAL We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: - Build and lead the direct tax team as we bring provision and compliance in-house - Expand into other strategic initiatives such as M&A, PE mitigation policy, corporate structuring. - Broaden into wider tax leadership as our footprint grows LOCATION This role is remote-first, so it can be executed from anywhere on the east coast, New York preferred. 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: Argentina Remote Workplace: Remote ABOUT THE TEAM  The Admin & Identity and Access Management (Admin & IAM) team at Mural defines how users sign in, manage their identities, and access Mural's products, as well as how administrators configure and govern their organizations. We own authentication & authorization, Single Sign-On (SSO), Multi-Factor Authentication (MFA), user provisioning (SCIM), session management, and the core permission model that powers roles and access control across companies and workspaces. We also own the enterprise administration experience; the configuration and controls that company and workspace admins use to manage their organizations and users. By providing secure, clear, and intuitive controls for users and administrators, we help organizations adopt Mural quickly and collaborate with confidence. YOUR MISSION  As a Senior Software Engineer on the Admin & IAM team, you will design and ship these capabilities end-to-end, from identity primitives like the permission model and authentication flows to the admin surfaces enterprise customers use every day. Senior Engineers on Admin & IAM own complex technical initiatives, influence platform and security best practices, and collaborate closely with Product, Design, and Infrastructure to deliver secure experiences that feel simple and intuitive. You will report to an Engineering Manager and work with a small, focused team in a remote-first environment, with the option to work from our Buenos Aires office. WHAT YOU'LL DO - Build and evolve core identity and access systems that power authentication & authorization, SSO, user provisioning, session management, and permissions across Mural - Build and evolve the enterprise administration experience, including company and workspace configuration, user and content administration, billing, and internal admin tooling - Collaborate with cross-functional partners to design and ship secure, intuitive access and administration experiences for users and administrators - Prototype, implement, and maintain Admin & IAM platform features, contributing as a technical expert and supporting teammates through collaboration and mentorship - Own technical initiatives from design through implementation, rollout, and operational support - Build flexible, observable and maintainable solutions while being accountable for security, quality, performance, and reliability - Use AI tools as a part of your fundamental workflows to improve productivity, code quality, and system understanding - Contribute to technical design discussions, provide thoughtful code reviews, mentor teammates, and continuously improve the quality of the team's engineering work - Contribute to continuously improving the team's processes and engineering best practices  WHAT YOU'LL BRING -  4+ years building and shipping large-scale production software as part of an agile engineering team - Experience learning new technologies, platforms, and stacks, and getting productive quickly in large, existing codebases - An outcome-oriented and pragmatic interest in using AI-driven development practices to improve productivity, code quality, and system understanding - Strong experience building backend systems and APIs using Node.js, TypeScript / JavaScript, MongoDB, or comparable technologies - Hands-on experience building production user interfaces with React and modern frontend patterns - Proven ability to plan and deliver technical projects iteratively, balancing speed, quality, and long-term maintainability - Strong collaboration and communication skills, with the ability to work effectively across product, design, security, and engineering partners - Experience working in a fast-moving or growth-stage environment, adapting to evolving requirements and priorities - Domain experience with identity and access management concepts such as authentication flows, authorization models, roles and permissions, SSO, SCIM provisioning, or session management - Experience building enterprise administration or B2B SaaS configuration surfaces, such as org management, billing, or admin dashboards Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. . EQUAL OPPORTUNITY  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.

Location: United Kingdom; Dublin; United States; New York; Sofia; Germany; Portugal; Poland; Madrid; Boston; Amsterdam; Bulgaria 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 company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We are looking for back-end engineers to expand the functionality of our system. There is flexibility in staffing engineers on projects across the company, depending on the project, your specific responsibilities might include:   - Building and maintaining our platform on top of our cutting-edge voice models, which are used by millions of users. - Improving our existing products to ensure that they’re intuitive, powerful and make innovative use of our research team’s latest break-throughs. This could involve adding significant functionality, or building integrations with other common consumer/enterprise solutions. - Maintaining and strengthening our internal infrastructure as we scale and grow to ensure that our products remain live, performant and secure. - Collaborating closely with engineers and others from the Frontend, Growth and Sales teams to understand, and design solutions for our customers. REQUIREMENTS We do not require any formal experience, certifications, or degrees. Instead, we are seeking enthusiastic software engineers who can showcase solving impressively hard problems with artifacts such as past projects, or GitHub contributions. We do require: - Expertise in Python. - A strong background in backend development. - Familiarity with common software and system design patterns and infrastructure including APIs, cloud infrastructure tools, storage solutions, data structures etc. - Knowledge about test design and security fundamentals. - Bonus: - Experience with Kubernetes. - Experience with Stripe or other payment processing providers. - Basics about how AI models work. LOCATION This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, 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: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE We're looking for an ML infrastructure engineer to own model evaluation at Runway, end to end. Every decision we make about a model – which checkpoint to keep training, what to ship to millions of users, which datamix and architecture shows the most promise – rests on evals. Today that work is spread across the organization. You'll turn it into one platform. Your job will be to design and build the systems that generate samples at scale, score them with automated metrics and human annotations, track results across checkpoints and releases, and put the answers in front of researchers in minutes rather than days. You'll define what "better" means operationally – how we measure it, how confident we are, and how a result becomes a ship/no-ship decision. You'll be embedded within research teams as a member of ML Platform, and you'll set the technical direction for evals across the company. This is an extremely high-leverage role: the quality of our models is bounded by how well we can measure them. A PEEK AT OUR TECHNICAL STACK Our inference and training code is written in Python (PyTorch) and is cloud-native. We leverage multiple clouds and use a combination of Kubernetes native and home-grown tooling for efficient job orchestration. We’re big users of agentic development and operations. We have a robust internal platform and provide broad access to the latest models and harnesses. You’ll have access to best-in-class models, agents, GPUs, storage and cloud services you need to drive a world class evaluation pipeline that helps us deliver frontier models. WHAT YOU'LL DO - Own the evaluation platform end to end: the tooling and systems required to generate, annotate, review and adapt at frontier scale - Define the CLIs, APIs, GUIs and storage layers required to make this process seamless, fast, sophisticated and collaborative - Work directly with research teams on video, image, audio, agents, and robotics to understand what they need to measure and build it, then generalize the result into the platform - Help set the standards for how we evaluate models at Runway: reproducibility, metric definitions, reporting formats, and when a result is trustworthy enough to act on - Support broad adoption of the platform and its integration throughout Runway’s research efforts across training, production model serving and more - Contribute broadly as a member of the ML Platform team to tools and systems that help Runway train and serve frontier models WHAT YOU'LL NEED - 5+ years of experience building ML infrastructure or data platforms in production environments, with at least some of that time spent on evaluation, experimentation, or benchmarking systems - Strong Python and PyTorch, and hands-on experience running large batch GPU workloads on Kubernetes - Experience designing data pipelines and storage for large volumes of media or model outputs, with attention to versioning and reproducibility - Familiarity with experimental statistics: paired comparisons, confidence intervals, multiple-comparison pitfalls, inter-rater agreement - Comfort building internal tools end to end, from the command line to the browser - Ability to lead a broad technical area: gather requirements from many teams, set direction, make tradeoffs, and drive a roadmap without waiting to be told - Familiarity with the full model development lifecycle: data, training, evaluation, serving - Self-starter who can work embedded with research teams and move fast - Strong systems thinking and pragmatic approach to production reliability - Humility and open mindedness; at Runway we love to learn from one another NICE TO HAVE - Track record of building evaluation suites for generative models - Hands-on work with LLM- or VLM-as-judge pipelines - Experience with online experimentation platforms and connecting offline metrics to product outcomes - Prior work evaluating agents or robotics policies Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: United Kingdom Remote; Canada Remote; Argentina Remote ABOUT THE TEAM The Canvas Core team builds and maintains the foundational platform that powers Mural’s visual thinking experience. This includes the infinite canvas, key editor components, document editing behaviors, asset management, real-time collaboration, and the systems that enable fast, reliable, and intuitive interaction on the canvas. We’re also responsible for the Mural UI, the real-time message protocol that enables seamless remote collaboration, and the developer-friendly APIs that internal teams use to build features like diagramming, workshops, presentations, integrations, and AI-enabled product capabilities. Our mission is to ensure the Mural editor is fast, reliable, intuitive, and easy to build on. We prioritize performance, simplicity, developer experience, and platform quality, enabling teams across the company to ship quickly and safely on top of Canvas Core. YOUR MISSION As a Senior Software Engineer, you’ll help design, build, and improve the Canvas platform so that the Mural editor remains reliable, high-performing, and intuitive for our users. You’ll work on the systems that power real-time collaboration, shared document editing, spatial interactions, rendering and interaction performance, asset management, developer APIs, and AI-enabled product capabilities across the Mural editor. Your role will be to reduce platform complexity, improve the quality and speed of Canvas development, and help teams ship high-quality editor experiences quickly and safely. You’ll partner closely with Product, Design, Engineering, and other stakeholders to turn ambiguous product and platform problems into clear, maintainable technical solutions. Senior Engineers at Mural lead by example through strong technical execution, thoughtful design, high-quality implementation, and collaborative problem-solving. They help raise the bar for their team through design discussions, code reviews, mentoring, documentation, and pragmatic improvements to engineering practices. WHAT YOU’LL DO - Own and deliver new Canvas platform capabilities and improvements from problem definition through implementation, release, measurement, and iteration - Partner with Product and Design to shape high-quality user experiences, balancing pragmatic technical delivery with long-term platform needs - Design and build maintainable Canvas platform systems, with accountability for quality, performance, reliability, and developer experience - Contribute to developer-friendly APIs, service boundaries, and platform contracts that internal teams can build on quickly and safely - Use AI-assisted tools and agentic workflows as part of your engineering practice to prototype, implement, test, document, and measure work effectively - Strengthen the team through technical design reviews, demos, code reviews, mentoring, and improvements to engineering practices - Build and evolve canvas systems with rich document and object models, including hierarchical scene or document structures, spatial indexing and querying, layout behavior, asset management, and selection mechanics - Work on large-scale concurrent and real-time collaboration systems that keep shared documents synchronized across users, contributing to design decisions around event ordering, latency, conflict handling, and failure-mode management - Help design, build, and integrate AI-enabled product capabilities where they intersect with the canvas, document model, real-time collaboration systems, or developer platform - Improve performance through profiling, bottleneck analysis, architectural simplification, targeted optimization, and moving expensive work out of critical interaction paths so systems remain responsive as document complexity and user activity scale WHAT YOU’LL BRING - Fluency in modern JavaScript/TypeScript, with familiarity in React, Node.js, or comparable modern frameworks - 6+ years building and shipping large-scale production software as part of an agile engineering team - Strong engineering judgment, with experience designing and delivering scalable, reliable, high-performance systems and developer-facing abstractions that balance simplicity, developer experience, and long-term maintainability - Experience designing clean API contracts and service boundaries, including thoughtful data models, versioning, validation, error handling, documentation, and long-term maintainability - Experience building distributed, concurrent, collaborative, or low-latency systems, such as collaboration tools, MMO games, shared-state systems, messaging protocols, or other low-latency user experiences, with familiarity across synchronization, consistency, event ordering, latency, failure modes, and performance trade-offs - Exposure to complex systems with rich object models, including hierarchical scene or document structures, spatial indexing and querying, layout behavior, asset management, selection mechanics, and performance-sensitive user interactions is a strong plus - Interest in AI-enabled product capabilities, or hands-on experience building or integrating them in production, such as intelligent editing, automation, recommendations, semantic document understanding, or collaboration features powered by AI - Performance optimization experience, including profiling, bottleneck analysis, memory and CPU efficiency, latency reduction, and responsiveness as document complexity and user activity scale - Familiarity with parallel processing, off-main-thread architectures, rendering pipelines, background computation, or other multithreaded systems is a plus - Practical experience using AI-assisted tools to prototype, implement, test, document, and measure engineering work - Communication and collaboration skills, with a low-ego approach to working with Product, Design, and Engineering, and the ability to contribute meaningfully to technical discussions, collaborate across teams, and help improve team engineering practices - Comfort operating in high-growth, fast-paced environments or scale-ups is a plus Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. EQUAL OPPORTUNITY  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.

Location: Austin, in-person Pod Member - Product, Growth, AI & Strategy Location: Austin, TX - primarily in person Reports To: Pod Lead What Is a Pod? inKind operates through Pods: small, autonomous teams that own a business outcome from idea to impact. Pods bring together Product, Engineering, Data, Design, Growth, and commercial expertise to find opportunities, build solutions, launch quickly, and measure results. There are no traditional handoffs. The Pod owns the outcome. Examples of problems a Pod might own include: Increasing active users, engagement, and retention Improving restaurant discovery and personalization Helping restaurant partners acquire customers and grow revenue Improving restaurant onboarding and activation Building new AI-powered experiences Testing new products, incentives, and growth opportunities The Role This is not a traditional Product Manager role. We're looking for builders and operators who can work across Product, Engineering, Data, Growth, AI, and commercial strategy. You'll identify opportunities, get into the data, shape solutions, work directly with engineers, launch products, and determine whether they actually worked. You're not here to manage a backlog. You're here to solve important problems. What We're Looking For We want people with experience across several of these areas: Product: Finding problems, shaping solutions, and shipping products. 0 → 1: Taking ideas from ambiguity to launch. Technical: Working deeply with Engineering and understanding technical tradeoffs. Data: Using data to find opportunities, make decisions, and measure impact. Growth: Acquisition, conversion, engagement, retention, and experimentation. Commercial: Understanding revenue, ROI, unit economics, and business models. B2C + B2B: Understanding both consumer behavior and business/partner needs. AI: Using AI to prototype, automate, analyze, and build faster. You don't need to be an expert in everything. But traditional PM experience alone isn't enough. What You'll Do Own a Pod objective and take responsibility for moving the metrics behind it. Turn broad business problems into clear priorities and executable plans. Decide what matters most and keep the Pod focused on the highest-impact work. Bring the right people together and drive decisions when there isn't an obvious answer. Spot blockers, risks, and opportunities early—and do something about them. Challenge assumptions and push the team toward simpler, faster solutions. Stay close to customers and partners to understand what actually needs solving. Measure what happens after launch and determine what to scale, change, or stop. Step outside your functional lane when that's what the outcome requires. Create momentum and own the result. Why inKind? You'll operate across Product, Engineering, Data, AI, Growth, B2C, B2B, and commercial strategy with unusually broad ownership. We're looking for people who want to build, experiment, understand the whole business, and own measurable results. Who we are: inKind connects passionate diners with exceptional restaurants across the country. inKind partners with thousands of restaurants and has millions of users who want to discover great places, dine confidently, and earn meaningful rewards. Through the inKind app, guests earn 20% back every time they dine, turning everyday meals into something more rewarding. From celebrated restaurant groups like José Andres and Michael Mina to beloved neighborhood favorites, inKind helps diners explore the best restaurants in town while supporting the restaurants and chefs who shape how their cities eat. Rooted in hospitality and built on a win-win philosophy, inKind exists to help great restaurants thrive while inspiring guests to dine out more often. Every meal creates value on both sides of the table, empowering diners to savor more while strengthening the restaurant community. inKind is an Equal Opportunity Employer. We believe that diversity is vital to inKind's ability to provide our clients with the best recommendations and are committed to fostering a varied and inclusive work environment. Your race, color, ancestry, religion, gender, gender identity, national origin, sexual orientation, age, marital status, disability status, veteran status, or any other protected category have no bearing on our hiring decisions. By submitting this application, you acknowledge that inKind Cards, Inc. may share the information you provide with trusted third-party service providers, including fraud detection and application processing partners, to evaluate your application and ensure the integrity of our hiring process. Your information will be handled in accordance with our Privacy Policy . For California residents and others with applicable rights, please review our privacy notice for information about your rights regarding your personal data.

Location: United States 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 company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE You will own the full commercial relationship and customer’s success across a book of 100 to 200 corporate accounts - the builders, founders, and product teams at companies up to 250 employees who are defining what AI-native experiences look, feel, and sound like. Your job is to make sure every one of them is getting real value, expanding into new products, and renewing with conviction. This is a high-volume, high-impact role. You won't succeed by managing accounts one at a time - you'll build the systems, playbooks, and scaled motions that let you drive meaningful outcomes across a diverse book. If you love the challenge of figuring out how to operate at scale without losing the quality of the customer relationship, this role was built for you. On the ground, you'll be in the product with customers - advising on agent design, voice customization, conversation flows, integrations, and using data and logs to spot friction before customers do. You're the person who connects what's working technically to what's growing commercially and partnering closely with high growth accounts to help them achieve value. Success of the customer and commercial ownership go hand in hand and are at the core of this role. You own NRR across your managed book of business, you drive cross-sell into ElevenLabs’ expanding product suite, and you lead renewals end to end. The best AMs at ElevenLabs don’t just retain customers, they grow with them. COMPENSATION This role offers a competitive on target earnings (OTE) structure with a split of 70% base and 30% variable. Variable compensation is weighted 100% net revenue retention (NRR) with an emphasis on product cross sell. Cross-sell performance counts toward NRR, so strong expansion compounds across both components. Quota is set on managed ARR, giving you clear ownership over a defined book of business. The plan includes accelerators for above target NRR performance and is designed to reward account managers who grow with their customers, not just retain them. Variable compensation is paid on a quarterly basis. REQUIREMENTS - Minimum 2 years of Account Management or Customer Success experience in B2B SaaS, Developer Tools, or AI/ML products - you know what good looks like in a technical, fast-moving customer environment - A track record of owning commercial outcomes: quota, renewals, cross-sell, and the full expansion motion from identifying the opportunity to closing it - Comfortable managing a high-volume book of business with a systems mindset - you build playbooks and repeatable motions, not just individual relationships - Hands-on familiarity with AI concepts, API integrations, and SDKs; you can hold a technical conversation with a developer or engineering team and earn their trust - Experience using product usage data to stay ahead of your accounts - spotting health signals, identifying expansion opportunities, and getting in front of risk before it becomes churn - Strong communicator who can move fluidly between a founder, a technical lead, and a procurement team in the same week Preferred - Experience in the voice AI, audio AI, or conversational AI space - Experience selling or expanding into multiple products within a platform LOCATION This role is remote-first, so it can be executed from anywhere in the United States, however the ability to operate in ET, CT, MT, or PT timezones is required. There is a preference for candidates to be based in New York City or San Francisco, with the option to work out of our offices in these cities. #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: 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 Procurement Operations is the front door for buying at Anthropic. We sit inside Finance Operations and own the path from “I need to buy something” to a signed agreement, an accurate purchase order, and clean spend data at month end. We are hiring a Procurement Operations Business Partner to own that path for our technology spend: business applications, SaaS tools, cloud and infrastructure services, and the engineering and developer tools our teams build with. This portfolio is software heavy: new tools evaluated and onboarded regularly, licenses that renew on their own schedule, and vendors billed on seats, usage, or tiered subscription terms rather than a single invoice. You will be the person who makes buying software feel simple to the teams who depend on it and reliable to the Finance stakeholders behind it. This is a high-volume role with an accounting core. You ensure every software purchase in your portfolio is coded, dated, received, and accrued correctly, so spend is right in the books every month. Expect a steady queue of new tool requests, renewals, and license changes, and expect to be the person Accounting trusts on all of it. We use Claude as part of our daily workflow and are looking for someone who wants to help define what an AI-native procurement operations function looks like, including how AI changes intake, contract and security review, vendor coordination, and requester support. Responsibilities Own the purchasing process Manage a high volume of purchase requests, renewals, and license changes each month across the organization, keeping speed and accuracy high at the same time. Serve as the primary procurement partner for the teams buying in your categories, guiding requesters from initial request to signed agreement and issued purchase order. Review every purchase request in your portfolio for the things that matter downstream: the right vendor record and contracting entity, complete commercial documents, correct spend categorization and service dates, and the approvals the purchase actually needs. Determine what else each request requires before it can move, whether that is an order form, a data privacy review, or a third party risk assessment, and route it to the right reviewers the first time. Partner with Security to run a vendor security review on every new tool and at every renewal, and hold the line that nothing goes live without one. Launch and track contract review with Legal, keep it moving, and confirm the executed agreement supports the purchase order before it is issued. Structure purchase orders so they match how the vendor bills (seat-based, usage-based, tiered subscription, or flat annual fee) and how Accounting needs to see the spend, with the right GL account, cost center, and service period on every line. Manage renewals, true ups, and seat count changes over the life of each agreement. Track license counts and renewal dates across your portfolio so nothing auto-renews or lapses by surprise, and flag underused or overlapping tools to budget owners ahead of the next renewal cycle. Financial completeness and accuracy Code every purchase order correctly at creation, including GL account, spend category, cost center, and service period, and understand how each choice lands in the financials (expense versus prepaid, annual versus monthly recognition). Work the hard cases with Accounting: multi year subscriptions paid upfront, mid term seat additions, true ups, credits, and contracts amended mid cycle. Own the open purchase order book: receipts recorded against actual delivery, periodic reviews, stale line cleanup, coding corrections, and timely closures, so PO, receipt, and invoice agree. Serve as the first line reviewer for month-end accruals on your portfolio, gathering estimates from vendors and budget owners for variable spend and confirming or correcting proposed amounts so Accounting can close on time. Partner with Accounts Payable to resolve invoice holds, PO mismatches, and receiving questions so vendors are paid on time and spend lands where it belongs. Support audit and reporting requests that touch your portfolio, including commitment schedules and control evidence, with data you can stand behind. Be the front door Be visible and responsive in your teams' Slack channels and office hours; answer routine purchasing questions quickly and escalate real blockers with context. Apply purchasing policy consistently and explain the why, including approval thresholds, signature authority, and when an exception is and is not available. Translate procurement, legal, security, and finance requirements into plain language for engineers, IT, and business stakeholders, and carry their operating reality back to those teams so controls fit the work. Keep a regular check in with your highest volume teams so upcoming purchases and renewals are visible early and nothing urgent arrives as a surprise. Continuous improvement Maintain the playbooks, intake guidance, and standard operating procedures for your portfolio so the path is repeatable and does not live in one person's head. Identify manual steps, repeat questions, and failure points and fix them, including where Claude and workflow automation with AI can take work off requesters and the team. Minimum qualifications Proven track record of owning a high-volume purchasing portfolio end-to-end in a procure-to-pay and intake platform. Solid working knowledge of accrual accounting as it applies to purchasing: accruals and reversals, service period and cutoff, prepaid versus expense, and GL and cost center coding. You can explain how a purchase order becomes an entry in the general ledger. Experience buying and managing software or SaaS at scale, including seat-based, usage-based, and tiered subscription billing models. Experience owning the tool and vendor lifecycle end to end, from intake through security review, contracting, renewal, and sunset, with the judgment to know when to push a request through and when to slow it down. Preferred qualifications 7+ years of procurement operations, purchasing, or vendor operations, including time supporting IT, engineering, or business systems teams. Background in accounting, accounts payable, or a month-end close process. Direct experience with Zip, Workday Financials, and Ironclad. Prior ownership of month-end accrual review or open PO reconciliation for a large, variable spend portfolio. Experience with software asset management or license optimization, including identifying underused or redundant tools. Experience designing tiered intake or approval frameworks that sped up low risk purchases without weakening controls. 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: $190,000 — $230,000 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 of America What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Director, Engineering Location: Remote US, Only Compensation: $165,000 to $190,000 base plus bonus and equity What You’ll Do: Huntress is building an Agentic SOC. When our detection pipeline raises a signal, an LLM-based agent picks it up and investigates it end-to-end. It gathers telemetry across our products, reconstructs what happened, and makes a well-documented determination about whether the activity is malicious. Over time, it will take on more of the work itself, growing from resolving routine cases to acting fast when it finds an attack and handing analysts cases with the evidence already assembled. This system is meant to augment our analysts, not replace them. It takes the high-volume, repetitive work off their plates so they can focus on complex cases and hands-on keyboard intrusions where human expertise matters most. It also reduces toil in the rest of their day by using LLMs to pre-process the output of the tools analysts use constantly, so they start from a clear picture instead of raw telemetry. This isn’t a chatbot bolted onto a dashboard. The system investigates a large volume of signals a day across thousands of customer organizations. Many signals are benign, but some are live intrusions where minutes matter. The telemetry the system reads comes from environments where attackers are actively operating. Because the system makes real decisions, like closing an investigation or isolating a host, it has to be right, it has to show its work, and it has to know when to hand off to a person. As a Senior Software Engineer on the Agentic SOC team, you’ll build and ship core parts of this system. You’ll work closely with the team’s technical leads, SOC analysts, product researchers, and product managers. You’ll own significant pieces end-to-end, from an ambiguous problem to a production feature you can show is working. We make full use of AI coding tools to enable you to accelerate your development. We don’t cap token usage. We expect you to use AI and all tools responsibly. Responsibilities: Build the investigation system. You design, build, and ship the components that make agentic investigation work: the tools agents use to query telemetry, the logic that drives an investigation, and the structured, evidence-backed output that analysts and customers see. Turn analyst expertise into agent behavior. You sit with SOC analysts and product researchers to understand how they triage and investigate a given kind of Signal, then encode that into what the agent looks for, what it gathers, and how it explains its conclusions. Take toil off analysts’ plates. You build LLM-powered features that pre-process the output of tools analysts use every day. They summarize, correlate, and highlight what matters, so analysts spend their time on judgment instead of assembly. Measure what you ship. You build and extend the evaluations that tell us whether the system is getting better or worse, and you back your changes with evidence rather than a handful of good-looking examples. Build with a security mindset. The agent reads attacker-influenced data, runs across thousands of customer tenants, and can take action in customer environments. You think about how what you build could be misused or manipulated, and you design for it. Build for production. You write reliable, observable, cost-conscious code that behaves well when models are slow, wrong, or unavailable. You operate what you build and help keep the system healthy as new detections and products come online. Collaborate and raise the bar. You give thoughtful code reviews, help teammates get unstuck, share what you learn about building with LLMs, and contribute to technical discussions and design reviews with clear reasoning about tradeoffs. Balance rigor with pragmatism. You know when to prototype quickly to learn something and when to slow down because the cost of being wrong is high. What You Bring To The Team: 6+ years of professional software development experience, including building and operating production backend systems Experience building applications with LLMs, including tool use, structured output, prompt and context design, and evaluation. Experience shipping agents to production is a strong plus An understanding of how LLM-based systems fail, and good habits for testing and debugging non-deterministic behavior Solid backend fundamentals, including APIs, background jobs and queues, concurrency, relational databases such as Postgres, and data stores such as Redis Strong skills in one or more backend languages and the ability to pick up new ones quickly. Our primary stack is Ruby on Rails. Prior Rails experience isn’t required, and we expect you to become fluent in it Security awareness: you think about untrusted input, access control, and keeping one customer’s data separate from another’s Curiosity about how security analysts think and work, and a willingness to spend real time learning from them Experience with AWS, Azure, or other public cloud environments Experience with AI coding tools, such as Claude Code BS or MS in Computer Science or Engineering, or equivalent experience Bonus Points: Experience working in or building for a SOC, incident response, threat hunting, or detection engineering. It isn’t required, but it helps a lot, because we build these workflows around how our analysts actually investigate Familiarity with endpoint, identity, and Microsoft 365 telemetry and with attacker tradecraft (e.g., MITRE ATT&CK) Experience building evaluation pipelines or datasets for ML or LLM systems Experience with Ruby on Rails What We Offer: 100% remote work environment - since our founding in 2015 Generous paid time off policy, including vacation, sick time, and paid holidays 12 weeks of paid parental leave Highly competitive and comprehensive medical, dental, and vision benefits plans 401(k) with a 5% contribution regardless of employee contribution Life and Disability insurance plans Stock options for all full-time employees One-time $500 reimbursement for building/upgrading home office Annual allowance for education and professional development assistance $75 USD/month digital reimbursement Access to the BetterUp platform for coaching, personal, and professional growth #BI-REMOTE Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $700M in annual revenue run rate, 30M+ users worldwide, 10M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHO WE ARE LOOKING FOR Everyone at Higgsfield is an A-player. We ship 200+ releases a year, serve 25M+ users across the world, and operate at the frontier of generative AI. We're looking for a Product Legal Counsel who can keep up with that speed: a lawyer who finds the path to "yes, and here's how" instead of defaulting to "no." You bring: - High agency and extreme ownership — you embed with product teams, you don't wait for questions to land on your desk. - Speed with judgment: pragmatic, risk-calibrated advice delivered on product timelines, not law-firm timelines. - Genuine curiosity about generative AI and the fast-moving legal landscape around it. - The ability to translate complex legal concepts into clear, actionable guidance for engineers, designers, and growth teams. - Comfort with ambiguity: many of the questions you'll face have no settled answer yet — you'll form defensible positions where precedent doesn't exist. WHAT YOU WILL WORK ON - Act as the primary legal partner to product, engineering, and growth teams: review new features, models, and launches before they ship, at the pace we ship them. - Own user-facing legal documents: Terms of Service, Privacy Policy, community and content guidelines, creator program terms (including Higgsfield Earn), and consumer disclosures across markets. - Advise on intellectual property questions core to generative AI: training data, model outputs, user-generated content, licensing, and copyright risk — and help shape our positions as the law evolves. - Build and refine our approach to content policy and trust & safety: likeness and voice rights, impersonation, moderation obligations, and takedown processes (including DMCA and equivalents). - Advise on privacy and data protection compliance across our global user base (GDPR, CCPA, and other applicable regimes), partnering with engineering on privacy-by-design. - Track and interpret emerging AI regulation worldwide (EU AI Act and beyond) and translate it into concrete product requirements. - Support commercial and enterprise work: review agreements with Fortune 500 clients, partners, and vendors touching the product. - Manage and coordinate outside counsel efficiently where specialist or local-law expertise is needed. - Build scalable legal processes — launch review, escalation paths, self-serve guidance — so legal accelerates the company instead of bottlenecking it. YOUR MUST-HAVES - Qualified lawyer with 6+ years of experience, including meaningful time as product counsel or technology/IP counsel at a fast-moving tech company (in-house) or advising tech clients at a top firm. - Strong grounding in at least two of: intellectual property, privacy/data protection, consumer protection, content/platform regulation. - Hands-on experience drafting and maintaining user-facing terms and policies for a consumer or platform product. - Proven ability to give fast, practical, risk-weighted advice to non-lawyers in a shipping-focused environment. - Experience working with international/cross-border legal questions for a global user base. - Excellent written and spoken English — you'll draft user-facing documents and advise the team in English daily. YOUR GOOD-TO-HAVES - Direct experience with generative AI, ML, or media/entertainment products and their IP questions. - Familiarity with the EU AI Act, DSA, or other emerging platform and AI regulation. - Experience with trust & safety, content moderation, or rights-of-publicity matters. - Experience supporting enterprise SaaS or API commercial agreements. - Additional languages (Russian is a plus for working with the Almaty team). THE DEAL - Full-time, on-site role in our Almaty office. - Competitive salary in USD. - Opportunity to grow alongside one of the fastest-scaling AI companies globally. - High ownership, fast learning, and meaningful impact from day one.

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 We're hiring a Senior Technical Account Manager (TAM) who has already done this job at a SaaS company: someone who has led implementations, owned enterprise accounts and knows what it takes to drive adoption in complex organizations. You'll be a strategic partner and trusted advisor to our customers, combining strong relationship management with deep knowledge of ClickUp's platform. This role sits where customer success, solution strategy and technical enablement meet, and it drives long-term growth, adoption and measurable business outcomes.   TAMs own the full post-sales customer lifecycle. That starts with implementation and onboarding and continues through ongoing managed services, strategic expansion and renewal outcomes across your book of business. This role requires an AI-native professional who doesn't just use AI tools but designs, builds and scales AI-powered workflows and agents, and brings that hands-on expertise to customers.   TAMs lead with a customer-first mindset. You'll build success plans, guide onboarding and adoption and make sure stakeholders keep seeing value throughout their lifecycle. You'll support technical initiatives like process optimization, workflow design and AI enablement, and you'll also own the overall health, engagement and strategic direction of your accounts. You'll work cross-functionally with Sales, Product and Support so each customer's success story is long-term, scalable and impactful.   Technical Account Managers (TAMs) deliver measurable value and meaningful business outcomes across their customer portfolio by focusing on: - Customer Enablement & Onboarding: Guiding new teams through implementation, onboarding and training for a smooth start and a strong foundation. - Account Health & Engagement: Proactively managing user adoption, stakeholder alignment and account health to support retention and growth. - Process Optimization & Solution Design: Working with customers to identify critical business processes, map them to scalable solutions and keep improving efficiency through ongoing refinement and performance insights. - Innovation Adoption & Workflow Automation: Helping customers use emerging features and technologies, including AI and automation, to boost productivity, streamline operations and deliver real-world impact. CORE RESPONSIBILITIES TAMs are the strategic and technical owner of the customer relationship. They make sure every customer gets measurable results from ClickUp's product and AI feature set.   New Customer Onboarding - Lead end-to-end onboarding and implementation of ClickUp, from discovery and solution design through training and go-live support. - Translate functional and technical requirements into scalable ClickUp solutions, including workflows, templates, hierarchies and automations. - Guide customers through foundational setup, integrations and enablement while promoting best practices, system governance and change management.   Account Health Management - Monitor seat utilization, adoption trends and Champion/Stakeholder engagement. - Build and run adoption plans and account reviews to maintain or improve health. - Spot risks early and build recovery plans with the account team. - Deliver ongoing change management and enablement so customers keep maturing on the platform.   Workflow Mapping (IER Framework) - Run Intake → Execution → Reporting (IER) cycles for key workflows. - Lead discovery sessions that map current-state and future-state processes. - Recommend optimizations and create workflow templates that scale across teams.   AI Enablement & Agent Deployment - Drive adoption of ClickUp AI and build custom workflow Agents tied to customer use cases. - Partner with customers to define and deliver new AI automations aligned to their business KPIs. - Provide technical training and consultation on AI and automation best practices, including prompt design, agent architecture and scaling use cases across teams. - Track and report AI usage and credit consumption against plan.   Customer Success & Expansion - Serve as the technical partner to assigned accounts and connect adoption to business value. - Drive value across the full post-implementation lifecycle by providing continued and managed services as customers expand their use of ClickUp. - Generate qualified leads through data-driven insights and AI usage analysis. - Drive cross-functional alignment to position renewals, expansions and AI upsells.   Cross-Functional Collaboration - Act as the voice of the customer by turning business objectives and pain points into actionable insights for Product, Engineering and Support. - Partner with account teams to keep delivery and success aligned. QUALIFICATIONS Required - 5+ years in a customer-facing SaaS role (Technical Account Manager, Customer Success Manager, Implementation Manager, Solutions Consultant, Professional Services Consultant or similar) - 2+ years of hands-on experience with ClickUp, Asana, Monday.com http://Monday.com, Smartsheet, Wrike, Jira or a comparable work management/project management platform - Direct experience leading enterprise SaaS implementations or onboarding programs end-to-end, and/or a proven track record managing a book of business ($2M+ ARR) with measurable retention and expansion outcomes - Demonstrated experience building and deploying AI-powered workflows, agents or automations in a business context - Strong project and program management skills, including complex, multi-stakeholder engagements   Preferred - Background in professional services, implementation management or consulting at a SaaS company - Hands-on experience with agentic tools and frameworks such as Claude, n8n, Make, Zapier or LangChain - Technical aptitude with integrations, APIs, automation logic and data modeling - Experience positioning or selling services alongside renewals and expansions CORE SKILLS & COMPETENCIES - Technical Acumen: Deep understanding of work management platform capabilities, automation logic, integrations and AI Agent functionality. Able to turn business needs into technical solutions. - AI-Native: Demonstrated experience designing and scaling AI-powered workflows, agents and automations, not just using AI tools. Skilled at identifying and scoping AI use cases and consumption plans. - Consultative Discovery: Excellent at workflow analysis, process design and finding friction points. Uses structured discovery to map customer needs into scalable solutions. - Project & Program Management: Manages complex customer programs with multiple stakeholders, deadlines and outcomes. Skilled at running structured account plans. - Data & Reporting: Comfortable using dashboards and metrics to communicate health, adoption and ROI. Reads usage data to drive recommendations. - Customer Engagement: Executive presence and strong communication skills. Builds trust with both executive (ATL) and day-to-day (BTL) stakeholders through credibility and clarity. - Account Ownership: Fully accountable for an assigned book of business. Proactive, organized and driven to hit measurable outcomes. - Collaboration & Influence: Works cross-functionally with the account team, Product and Sales to align on outcomes. Influences without authority through insight and results. WHAT SETS YOU APART - You've worked at, implemented or sold against project management or work management platforms. - You've run enterprise implementations and know change management firsthand. - You think in workflows and systems, not just relationships. - You've built something with AI that a team actually runs on, and you can walk us through how it works. - You've carried a renewal or expansion number and know how to tie technical value to commercial outcomes. #LI-SM1 #LI-remote Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Remote, Sweden MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. We are seeking a technical, creative, and entrepreneurial Enterprise Account Executive to drive MinIO’s next stage of growth in the Sweden region. This is a role for a proven seller who can combine technical depth in storage, data infrastructure, data lake/lakehouse, AI/ML, and HPC environments with the ability to close complex $250K+ enterprise deals. The ideal candidate has experience competing against legacy storage solutions, thrives in a startup environment, and brings a mix of creativity, persistence, and technical credibility to win transformative deals. What You Will Do Drive New Business Acquisition : Actively prospect and identify enterprise opportunities, leveraging your network and creative outreach to generate pipeline and close high-value deals Technical & Vision Selling : Confidently articulate how MinIO delivers transformational outcomes for data infrastructure, AI/ML, and HPC not just incremental improvements. Translate technical capabilities into compelling business value. Close Complex Deals : Own the full sales cycle from lead to close, with a focus on $250K+ opportunities and annual quota attainment of $1.5M+ Compete & Win Against Legacy Software : Position MinIO against traditional storage vendors by demonstrating the advantages of cloud-native, S3-compatible object storage for modern workloads. Educate & Influence : Teach prospects about AI infrastructure optimization and data architecture modernization, leading them beyond product comparisons to strategic transformation. Quantify Value : Build business cases and ROI models that include quantified benefits, risk mitigation, and financial justification. Partner-First Territory Strategy : Build and execute partner-led co-selling strategies, working with channel and alliance partners to expand territory coverage and accelerate deals. Cross-Functional Collaboration : Partner with Solutions Engineering, Product, and Marketing to deliver tailored solutions, ensure successful POCs, and create a seamless customer experience. Forecasting & Planning : Maintain disciplined pipeline management, accurate forecasting, and clear account strategies that support predictable and scalable revenue growth. Your Skills and Experience Enterprise Sales Expertise : 7+ years of enterprise sales experience with consistent quota attainment ($1.5M+) and average deal sizes of $250K+. Technical Acumen : Strong knowledge of storage, data infrastructure, data lakehouse, AI/ML, and HPC environments. Able to engage technical stakeholders and translate technical concepts into business impact. Partner-Led Approach : History of building co-selling strategies with channel and alliance partners to scale market presence. Vision & Thought Leadership : Skilled at leading transformation sales by shaping buyer thinking and providing unique customer insights. Competitive Selling : Proven ability to sell against legacy storage solutions and displace entrenched vendors with a differentiated value proposition. Startup Experience : Demonstrated success in fast-paced, entrepreneurial environments where creativity and adaptability are essential. Challenger Mindset : Skilled at teaching, tailoring, and challenging customer perspectives to unlock new opportunities. Network & Territory Expertise : Deep relationships within the territory, including decision makers and influencers who can be leveraged to accelerate business. Communication & Influence : Exceptional presentation, negotiation, and relationship-building skills with both technical and executive stakeholders. Education : BA/BS in computer science, engineering, business, or related field; MBA preferred. Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: Remote 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 Senior CX Platform Engineer, you'll help GitLab's Customer Experience (CX) teams hand real work to artificial intelligence (AI). You'll use Claude Code and GitLab Duo Agent Platform as your default development tools, designing agentic workflows and Model Context Protocol (MCP) servers with production testing, security, and shared ownership. This is a software engineering role, not ticket-taking internal IT, AI evangelism disconnected from shipped code, or customer-billable Professional Services delivery. What you'll do Use Claude Code, GitLab Duo, and other coding agents as your primary development environment for planning, implementation, refactoring, testing, reviews, and documentation. Run multiple agents in parallel on well-scoped tasks, critically review their output, and own every line that reaches production. Build and maintain the team's agent harness, including shared AGENTS.md conventions, skills, slash commands, hooks, subagent definitions, and continuous integration checks. Measure and share what works, publish reusable patterns, and retire those that don't. Ship agents and multi-step workflows for account research, success planning, scoping, status reporting, and customer onboarding. Package them as skills and plugins for non-engineers using Claude, Claude in Slack, and GitLab Duo Agent Platform. Build MCP servers and connectors for governed access to GitLab, Salesforce, Gainsight, Kantata, Thought Industries, Gong, Snowflake, and other enterprise systems. Add evaluations, tracing, and human-in-the-loop checkpoints to keep internal and customer-facing agents measurable, auditable, and safe with customer data. Evolve the CX Application Platform's gateway, Amazon Web Services (AWS) infrastructure, including Elastic Container Service (ECS), Relational Database Service (RDS), and Lambda, Terraform configuration, application scaffold, and deployment path. Own applications such as PS Compass, Congregate, and GitLab University and its integrations, documenting build-versus-buy and consolidate-or-sunset decisions. Ship production-quality Python and TypeScript through GitLab continuous integration and continuous delivery (CI/CD), with tests, observability, security review, and runbooks. Design every application for handoff, with documentation, monitoring, and shared ownership. Prototype with Customer Success, Digital Success, Professional Services, Education Services, and Training in days, not quarters. Help CX team members bring their own applications to production, and turn field learning into reusable reference implementations, development paths, and enablement. Contribute upstream to GitLab and share product feedback with Product and Engineering. Mentor engineers and non-engineers on agentic development and raise the team's code review bar. What you'll bring Experience building and operating production software, owning multi-quarter work from ambiguity to production, choosing reusable platform solutions over one-off customization where appropriate, and designing for handoff. Daily, hands-on use of coding agents such as Claude Code, Cursor, Codex, GitLab Duo, or similar on production work. You can show how they've changed what you ship and how you maintain quality. Experience building with large language models (LLMs) beyond chat, including tool use, MCP servers, agent loops, context and retrieval design, prompt and workflow design, and evaluations. Strong Python skills with FastAPI or Flask and TypeScript skills with Vue or React, including application programming interface (API) design, authentication, authorization, and secure handling of customer and business data. Hands-on experience with AWS ECS, RDS, and Lambda, Terraform, Docker, and applications running behind single sign-on (SSO), such as Okta. Experience integrating enterprise systems through Representational State Transfer (REST) and GraphQL APIs, and fluency with Git, merge requests, and CI/CD. Experience translating non-engineering stakeholders' workflows into technical plans and writing clear asynchronous design documents, decision records, and enablement materials. You align with GitLab's values and are willing to use GitLab for your own work. Optional experience includes agent harness customization; the GitLab Development Kit, Duo Agent Platform custom agents and flows, or AI Catalog publishing; enterprise agent governance and data controls; customer success, professional services, or learning platforms such as Salesforce, Gainsight, Kantata, or Thought Industries; professional services economics and customer success metrics; Snowflake or similar warehouses; and technical writing, talks, or open source contributions on agentic development. We welcome interest from candidates with varying levels of experience; you don't need to meet every nice-to-have to apply. About the team CX Platform Engineering builds and runs CX Applications for Customer Success, Digital Success, Professional Services, Education Services, and Training. We own the CX Application Platform's gateway and infrastructure alongside our application portfolio: GitLab University, the Foundational Onboarding Agent in GitLab Duo Agent Platform, Congregate, PS Compass, and Customer Wins. We build the first version with the people doing the work, turn what we learn into a reusable pattern, then hand it off so it runs without us. We reward leverage, not heroics, and don't leave tools dependent on one person. 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 $139,200 — $235,200 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: 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 the Senior Director, Global Subject Matter Expertise (SME) Solutions Architecture, you will build and lead GitLab's Subject Matter Expert organization: three regional teams in AMER, EMEA and APJ, each covering Security & Compliance, Platform, Core DevSecOps, and AI & Competitive. This team is the depth layer of GitLab's technical selling model. It wins the most complex opportunities, scales product expertise into the Account SA team, and turns field insight into product direction. This is a leader of leaders role. You will manage three regional SME Managers, not individual contributors, and develop them as leaders in their own right. The SME organization is new, so we are looking for a transformational leader who thrives in ambiguity, builds structure where none exists, and has a track record of standing up high-performing technical teams in fast-growing, evolving businesses. You will work as a peer to GitLab's regional Solutions Architecture Senior Directors and partner closely with Sales, Customer Success, Product, Engineering, Product Marketing and Sales Operations. Together you will make sure GitLab brings the right depth to the right opportunities, and that what the field learns shapes what GitLab builds next. What you'll do Set the strategy, operating model and global standards for the SME organization, aligned to the VP Global SA and GitLab's go-to-market plan. Build the resourcing model from product-level bookings and consumption targets. Size each product group by region based on where the plan needs specialist coverage. Act as the field's senior partner to Product Management and Engineering. Run a structured feedback loop that shapes roadmap, launch readiness and early-access programs. Hire, mentor and develop regional SME Managers and, through them, the full global team. Own the engagement model with the regional SA Senior Directors, Post-Sales SAs and Customer Success: triage rules, coverage thresholds, the closed-won handoff to Post-Sales SAs, and escalation paths. Create and improve upon the processes, metrics and KPIs for SME-led technical evaluations, workshops, demos and Proofs of Value. Partner with CRO staff, regional sales leaders and AVPs on product-category performance, forecast risk and competitive strategy. Partner with Enablement to drive  field readiness for new product launches with Product Marketing and Enablement, including Duo Agent Platform, security and platform offerings. Build strong relationships with key customers at the technical sponsor and executive level. Use AI to change how the team works, including deal research, demo creation, PoV automation and knowledge sharing. Drive organizational transformation by finding gaps early, building structure where none exists, and leading change without waiting for top-down direction. What you'll bring 5+ years second-line leadership experience (managing managers) in Solutions Architecture, Sales Engineering or a technical specialist organization. Experience building or scaling a specialist, overlay or global SA team in enterprise SaaS, DevSecOps, security or developer tools. A record of tying technical-team design to bookings and consumption outcomes, with the data to show it. The ability to lead through ambiguity and rapid organizational change, bringing clarity and direction while strategy is still forming. Strong relationships with Product and Engineering leaders, and a history of shaping roadmap from field insight. Fluency across the software development lifecycle, application security (SAST, DAST, SCA), cloud platforms (AWS, GCP, Azure), Kubernetes and AI-assisted development, including LLM evaluation and production deployment patterns. Executive presence with technical practitioners, managers and C-level stakeholders. Proven ability to partner across Sales, Partners, Product, Engineering, Marketing, Customer Success and Professional Services. A self-starting, entrepreneurial approach. You don't wait for a playbook; you write it. How you'll be measured Global product-category commit attainment and consumption growth. Time from technical win to first workload in customer’s production environment on SME-engaged opportunities compared with non-engaged opportunities. SME coverage and engagement speed on the top 10% of opportunities. Account Team capability lift: fewer escalations and more deals handled without an SME over time. Product impact: field sentiment on the product feedback process along with field-sourced requirements adopted into the roadmap. Team health: hiring against plan, manager development, engagement and retention. About the team The Subject Matter Expertise (SME) organization is part of GitLab's Solutions Architecture team, a trusted technical partner for the field. SMEs bring the deepest product expertise to GitLab's most complex opportunities and carry customer feedback into conversations about product direction, enablement and value messaging. The team is distributed and all-remote, and relies on clear communication, strong judgment and shared operating practices across regions. 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 $244,200 — $409,500 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: Bournemouth, United Kingdom Location: London Reporting Line: Head of Partner Advocacy & Growth Department: Marketing Employment Type: Full-time We are looking for an experienced B2B acquisition marketer with deep digital expertise to drive new mortgage brokers into the OneDome Growth Partners network. This is a cross-channel role where you will be responsible for identifying, reaching, and converting mortgage brokers primarily through performance digital channels, while also amplifying impact through PR, events, and referral initiatives. Reporting into the Head of Partner Advocacy & Growth, you will be the chief digital evangelist of the Growth Partners value proposition – using paid media, SEO, email, and automation to drive a predictable, scalable pipeline of new broker partners. Key Responsibilities Digital-First Broker Acquisition Strategy Design and execute a multi-channel acquisition plan to drive a steady pipeline of new mortgage broker partners. Own and optimise the full funnel – from awareness through to application. Develop a referral initiative that includes digital tracking, automated incentives, and broker-friendly sharing tools. Performance Marketing & Optimisation Manage acquisition budgets with a CPA focus, continuously testing ad creative, landing pages, audience segments, and offers. Implement retargeting campaigns to nurture brokers who have shown interest but not yet joined. Work with analytics teams to set up conversion tracking. Run regular A/B tests on messaging through deep understanding of our value proposition Test channel mix to improve conversion rates. Channel & Campaign Integration Work closely with the PR team to amplify trade media coverage – using earned media as fuel for paid and owned campaigns. Partner with the Events Manager to create hybrid event strategies: identifying where to be seen and how to maximise our presence. Spend time with internal partnership and sales teams to map the broker’s digital journey from first click to first completed application. Own the Growth Partners website landing pages for acquisition, optimising for SEO and conversion (CRO). Develop a compelling narrative around the Growth Partners community and create acquisition-focused digital assets and content to drive engagement Performance Reporting & Optimisation Track, measure, and report on digital acquisition KPIs: new broker sign-ups, CPA, CTR, conversion rate (landing page to application), ROI by channel, and referral conversion rates. Produce weekly dashboards for the Head of Partner Advocacy & Growth, making data-backed recommendations to reallocate spend. Feed digital learnings back into the broader growth strategy to continuously improve broker acquisition efficiency. Key Skills and Experience 5+ years of B2B marketing experience, with at least 3 years in a digital marketing or performance marketing role. Proven track record of growing memberships or acquiring partners preferably in a professional services environment. Hands-on experience with: Google Analytics, Google Ads, LinkedIn Campaign Manager, email marketing platforms and content management tools. Demonstrable success in creating innovative acquisition campaigns across multiple channels. You are digitally obsessive and commercially savvy: You love data and can model LTV:CAC and argue for incremental budget based on channel performance. A collaborative operator, you’ll enjoy working as part of a team whilst being equally at home leading a solo project. About OneDome OneDome is a UK-based housing and fintech technology platform building an AI-powered platform to simplify life’s biggest financial decisions — from buying a first home to building and protecting long-term wealth. The platform brings together property discovery, mortgage origination, legal and transaction services, insurance, and financial planning into a single, end-to-end digital experience. OneDome’s flagship HomeBuyer Service reimagines home ownership as a retail-style product, bundling everything required to purchase a home into one transparent, fixed-price offering. Beyond home purchases, the platform supports customers across the full lifecycle of home ownership and personal finance. OneDome operates at scale, working with a nationwide network of over 500 mortgage brokers and arranging approximately $1.4 billion in mortgage volume per month , positioning the company among the largest housing and mortgage platforms in the UK. The company is profitable and has been recognised for rapid, capital-efficient growth, including being ranked the 4th fastest-growing fintech and 17th fastest-growing technology company by the Deloitte Fast 50 in 2025, and the 6th fastest-growing tech company by the Sunday Times Tech 100 in 2026. Backed by Channel 4 Ventures and family offices across the UK, Saudi Arabia, the United States, and Australia, OneDome is building the next generation housing and fintech super-platform , replacing fragmented, manual processes with a modern, data-driven, AI-enabled consumer experience. Salary: £40,000 – £45,000 / year

Location: New York Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. ABOUT US: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Modal builds the infrastructure that lets engineers run AI workloads without the usual pain. To do this well, we need exceptional people – and that’s where you come in. As the first dedicated technical recruiter on our Talent team, you’ll own engineering and AI/ML searches end-to-end. You’ll work closely with our Head of Talent, founders, and technical leads to shape how we hire and help bring in the people who will define what Modal becomes. What you’ll do: - Run full-cycle recruiting for engineering and AI/ML roles (sourcing, pitching, guiding interviews, and closing candidates) - Partner with technical leaders to understand the real work and calibrate on what great looks like - Help set our technical hiring bar and how we evaluate talent - Execute creative top-of-funnel strategies that resonate with a strong community of talented, experienced engineers - Deliver a fast, respectful, honest candidate experience - Bring an equity lens to every stage of the process - Use data and market context to keep searches on track and expectations aligned - Support candidates as a trusted guide through high-stakes decisions REQUIREMENTS: - You know technical recruiting inside and out and enjoy the challenge of deeply technical roles - You’re curious – you ask the right questions and love understanding how things actually work - You influence with insight and honesty, not by simply having the loudest voice in the room - You move quickly and communicate clearly, even when things get messy - You’re a strong closer who builds trust early and stays ahead of concerns - You’re steady when priorities shift and can recalibrate without losing momentum - You care about people and want them to have a thoughtful, fair, and human experience throughout the process

Location: San Francisco; New York Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Modal builds the infrastructure that lets engineers run AI workloads without the usual pain. To do this well, we need exceptional people, and that’s where you come in. As the first dedicated GTM recruiter on our Talent team, you’ll own sales, GTM, and G&A searches end-to-end. You’ll work closely with our Head of Talent, founders, and GTM leads to shape how we hire and help bring in the people who will define what Modal becomes. WHAT YOU'LL WORK ON: - Drive full-cycle recruiting for key hires across GTM and G&A functions (sourcing, pitching, guiding interviews, and closing candidates) - Partner with GTM leaders to understand the real work and calibrate on what great looks like - Help set our hiring bar and how we evaluate talent - Execute creative top-of-funnel strategies that resonate with a strong community of experienced GTM talent - Deliver a fast, respectful, honest candidate experience - Bring an equity lens to every stage of the process - Use data and market context to keep searches on track and expectations aligned - Support candidates as a trusted guide through high-stakes decisions YOU MAY BE A FIT IF: - You know GTM recruiting inside and out and enjoy challenging searches - You’re curious: you ask the right questions and love understanding how things actually work - You influence with insight and honesty, not by simply having the loudest voice in the room - You move quickly and communicate clearly, even when things get messy - You’re a strong closer who builds trust early and stays ahead of concerns - You’re steady when priorities shift and can recalibrate without losing momentum - You care about people and want them to have a thoughtful, fair, and human experience throughout the process

Location: Sainte-Anne-de-Bellevue, Canada 📍 Location: Sainte-Anne-de-Bellevue, QC, Canada 📄 Employment Type: Full-Time 🏢 Work Arrangement: Remote available for U.S. and Canadian Citizens 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Remote & Relocation Opportunities U.S. and Canadian Citizens: Remote work arrangement available. UK and European Candidates: Relocation assistance/allowance and a relocation bonus are available for qualified candidates willing to relocate to Canada. Candidates should be prepared to support collaboration across multidisciplinary spacecraft engineering teams. Important Screening Requirements Bachelor’s degree in Electrical Engineering, Aerospace Engineering, Physics, or a related field . 8+ years of Electrical Power System (EPS) design experience on LEO/MEO satellite platforms. Deep knowledge of spacecraft bus subsystems and their interactions . Experience with power electronics design and power management hardware . Strong understanding of aerospace systems engineering fundamentals. Hands-on experience supporting systems integration, testing, and troubleshooting . Experience with Confluence and JIRA . Ability to work effectively with limited supervision. Strong analytical and problem-solving skills. Excellent written and oral communication skills in English. French is an asset. About the Role We are seeking an experienced Satellite Electrical Power System (EPS) Design Engineer to support the concept, detailed design, analysis, verification, and integration of electrical power subsystems for current and next-generation remote sensing and communications satellites . The role focuses on the design and development of solar arrays, power-conditioning units, batteries, power distribution, and regulation systems , while working closely with multidisciplinary teams across payload, spacecraft bus, thermal, structural, avionics, and mission systems. The successful candidate will contribute to the development of reliable, high-performance EPS solutions throughout the spacecraft lifecycle, from early architecture and trade studies through integration, launch, and on-orbit operations. What We’re Looking For We’re looking for a senior spacecraft electrical power systems engineer with strong experience designing and integrating EPS architectures for satellite platforms. The ideal candidate can work across the full EPS lifecycle, from power architecture and trade studies through detailed design, modeling, verification, spacecraft integration, launch, and on-orbit support . Strong candidates will combine deep power electronics and spacecraft EPS expertise with hands-on systems integration, analytical problem-solving, and the ability to work effectively across multidisciplinary engineering teams. Key Responsibilities Architecture & Requirements Define EPS architectures covering power generation, energy storage, and distribution while meeting mission power, mass, volume, and reliability requirements. Perform architecture and technology trade studies involving: Solar cell technologies Battery chemistries Regulator topologies Develop system requirements and functional flow block diagrams. Develop and maintain Interface Control Documents (ICDs) and design descriptions. Manage requirements and maintain bidirectional traceability throughout the program lifecycle. Detailed Design & Analysis Size and evaluate: Solar arrays Power-conditioning units Battery packs Power distribution units Build and validate high-fidelity electrical models for spacecraft operating modes. Perform FMECA and fault-detection analysis . Develop and maintain power budget models. Perform load-flow and thermal-power coupling analyses. Conduct survivability analyses for: Eclipse operations Safe mode Fault-tolerant operation Analyze EPS performance across different spacecraft mission phases and operating conditions. Cross-Functional Coordination Present technical status, risk analyses, and trade-study results to senior management. Interface with spacecraft bus teams across: Power Thermal Structures Avionics Develop and maintain high-fidelity power models for mission analysis, including: Orbit raising Station keeping De-orbit Develop tools supporting power efficiency and optimization. Support Phase 0 and pre-Phase A activities. Collaborate with multidisciplinary engineering teams throughout the spacecraft lifecycle. Integration & Verification Author Verification Plans, Test Matrices, and Validation Procedures for unit and EPS subsystem testing. Support ground-test and integration campaigns. Support: Fueling activities Thermal-vacuum testing EMI/EMC testing Spacecraft-level integration Analyze test data and support anomaly resolution. Close out anomalies and update design baselines. Support flight software integration. Technical Leadership & Mentorship Mentor and guide junior and intermediate systems engineers and interns. Lead or support multidisciplinary engineering activities. Serve as a technical liaison with customers, partners, and external vendors. Contribute to continuous improvement initiatives. Contribute to engineering knowledge bases, processes, and standards development. Configuration, Documentation & Standards Maintain EPS design and safety standards. Ensure engineering analyses, software, documentation, and deliverables are properly version controlled within the PLM environment. Support spacecraft design reviews, including: SRR PDR CDR MRR/TRR Support technology road-mapping and innovation activities. Launch, On-Orbit & Operations Support Support launch-site interface checklists with the responsible launch vehicle interface engineer. Support pre-launch checkout procedures. Support early-orbit checkout scripts. Provide real-time EPS engineering support during: Launch On-orbit commissioning Anomaly investigations Contingency operations Support Satellite Operations Handbook (SOOH) development and associated operator training. Required Qualifications Bachelor’s degree in Electrical Engineering, Aerospace Engineering, Physics, or a related field . 8+ years of EPS system design experience on LEO/MEO satellite platforms. Deep knowledge of spacecraft bus subsystems and their interactions. Experience with power electronics design and power management hardware. Strong understanding of aerospace systems engineering fundamentals. Hands-on experience supporting systems integration and testing . Strong troubleshooting and problem-solving capabilities. Experience with Confluence and JIRA . Ability to work efficiently with limited supervision. Ability to break down complex technical problems and develop practical solutions. Excellent written and oral communication skills in English. Preferred Qualifications Experience designing EPS architectures for remote sensing or communications satellites . Experience with solar array, battery, power-conditioning, and power-distribution systems. Experience with high-fidelity spacecraft power modeling . Experience with FMECA, fault detection, survivability analysis, and reliability engineering. Experience supporting thermal-vacuum, EMI/EMC, and spacecraft-level integration testing . Experience with mission-phase power analysis, including orbit raising, station keeping, eclipse, safe mode, and de-orbit. Experience developing tools for power efficiency and optimization. Experience supporting spacecraft launch-site and on-orbit operations . Experience with spacecraft design reviews and lifecycle processes. French language skills are an asset.