Вакансии

Location: Dublin, Ireland Title of role: Senior Software Engineer I (Front-End) Location: Dublin, Ireland; Hybrid (2 days in the office required) Approved Salary Range: €70,000 -  €100,000 About the Role : Rue Gilt Groupe is looking for a Front-end Senior Software Engineer I to join our Merchandising Engineering team in Dublin, IRE. This is an international team, with members in the United States and Ireland. Merchandising Engineering owns the systems between buying and selling at Rue Gilt Groupe: product ingestion, catalog and attribution, selling hierarchy and boutique model, scheduled pricing and promotions, and the merchandising operations tooling built on top of all of it. The team is small and senior, primarily backend engineers, with this role as the dedicated front-end owner. We're currently replat forming our commerce stack, which means the team is defining new data models, new integrations, and new tooling rather than maintaining what exists. We sit at the interface between our merchandising business and our commerce platform: getting bought products into the catalog, structuring how they're categorized and attributed, and building the tools our merchandisers use to plan, price, and launch boutiques every day. We're in the middle of a replat form. Our legacy ecommerce stack is being replaced with a modern SaaS commerce platform, and the internal merchandising tools that sit on top of it are being rebuilt and revamped. You'd be the front-end owner for that effort: setting the patterns, choosing the structure, and shipping the tools a team of merchandisers relies on every day. We're also deliberate about how we build. The team uses Claude across the development lifecycle (code, review, documentation, triage) and we invest in making that leverage repeatable: shared skills, repo-level rules, and tooling that connects our AI workflows to the systems we use. There's no better time to be involved in the technical advancement of e-commerce at Rue Gilt Groupe. We utilize technology, merchandising, and marketing to strategically support our brand partners and inspire members daily. Our approach to retail brings excitement to online shopping and the best-in-class experience that today's customer demands. Key Responsibilities: Own front-end architecture for the Merchandising Engineering team: establish patterns, project structure, component and state conventions, and testing standards for a new React and TypeScript codebase. Set the standard for AI-assisted front-end development on the team: author and maintain reusable Claude skills and repo rules for the new codebase, and define how we use agentic tooling in review, testing, and migration work. Port, expand, or rebuild our internal merchandising tooling (boutique building, scheduled pricing, catalog and taxonomy management) from a legacy Angular application onto a new commerce platform, retiring legacy pages as you go. Build data-dense internal UIs: large tables, multi-step workflows, and configuration tools where correctness and speed matter. Integrate front-end applications against platform APIs and event-driven backend services, working with backend engineers on contracts and data shape. Operate in an SDLC environment of fail-fast incremental delivery where innovation is a mainstay, and experimentation is encouraged. Collaborate directly with merchandisers, product management, and engineers across all of our technology teams to turn operational needs into shipped tooling. Lead by example: raise the front-end bar for a backend-leaning team through code review, pairing, and shared conventions. About you At Rue Gilt Groupe, diversity enriches our passion, collaboration, kindness and innovation. We're committed to fostering an inclusive environment where every Associate is empowered to learn, grow and bring their full self to work. Even if you don't check off every qualification in the job description, that's okay. We encourage you to apply to any role that excites you and sparks delight! We can't wait to learn more about you. Experience and Background Needed : Bachelor's Degree desired , but not required 5+ years of front-end engineering experience Deep experience with React and TypeScript; you've structured production applications from the ground up, not just contributed to them Fluency with AI coding assistants (Claude or similar) as a daily part of your workflow, and judgement about where they help and where they don't Experience building the scaffolding that makes AI tooling reliable for a team (prompt libraries, agent skills, repo conventions, MCP or similar integrations) is a strong plus Comfortable reading and working within Angular (our legacy tooling) and Vue (vendor-provided boilerplate); expertise not required Experience building internal, data-heavy applications for operational users (admin tools, back-office systems, workflow tools) Solid grasp of the Node.js ecosystem, build tooling, and CI/CD practices Experience consuming REST or GraphQL APIs; familiarity with event-driven or streaming backends ( e.g. Kafka) is a plus Knowledge of design systems and component libraries Experience with a cloud computing platform (AWS preferred) Experience working in an Agile/Kanban development team A love of learning and teaching Fluency in English Outstanding interpersonal and communication skills to interact with internal and external stakeholders while working in a collaborative team environment The above statements are intended to describe the general nature and level of work being performed by employee(s) assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required of employee(s) assigned to this job. Rue Gilt Groupe reserves the right at any time, with or without notice, to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities within your general skill set or capabilities. Rue Gilt Groupe is proud to be an Equal Opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. What We Offer : Rue Gilt Groupe is a leading off-price e-commerce portfolio company, connecting the next-generation shopper to world-class brands. We’ve defined the online treasure hunt through our daily sale events, allowing a large, loyal member base to discover over 5,000 premium and luxury brands at prices up to 70% off full-price retail. Rue Gilt Groupe operates three complementary sites – Rue La La, Gilt, and Shop Premium Outlets. Our vision at RGG is to spark delight through daily discovery – we make shopping an occasion to celebrate. At the forefront of fashion and technology, we’re also in the business of sparking delight for our Associates. We inspire each other, our Members, and ourselves to push past the expected – every day. Our culture is rooted in our values, and together we work to demonstrate being Kind, Passionate, Collaborative, Innovative, Tenacious and Empowered. Rue Gilt Groupe is committed to providing Associates with equal pay for equal work and carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, certification(s), license(s), skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Our goal is to support, reward and compensate the entire individual. Depending on role eligibility, your offer may also include bonus/commission, pension scheme, paid time off, medical, dental, vision and basic life insurance. Therefore, final offer amounts may vary from the amount stated. We Encourage You to Apply: At Rue Gilt Groupe, diversity enriches our passion, collaboration, kindness and innovation. We’re committed to fostering an inclusive environment where every Associate is empowered to learn, grow and bring their full self to work. Even if you don't check off every qualification in the job description, that's okay. We encourage you to apply to any role that excites you and sparks delight! We can't wait to learn more about you. ABOUT US: Ready for the most memorable – and stylish – experience of your professional career? Then join us at Rue Gilt Groupe. Combining three complementary brands, Rue La La, Gilt, and Shop Simon, we are the premier off-price e-commerce portfolio company. Our model defined the online treasure hunt through its daily sale events allowing our customers to discover over 5,000 premium and luxury brands at prices up to 70% off full-price retail. We believe in fashion for all, sparking delight through daily discovery and shopping as an occasion to celebrate!  World-class merchandising, technology and marketing bring our shopping experience to life, and we hire world-class people to do it.  Living our values and being empowered, tenacious, passionate, collaborative, innovative, and kind is something we strive for every single day. We meet over coffee and brainstorm new ways to spark delight for our members. Volunteer on- and off-hours together. Plan some serious surprises for our coworkers, because nothing ignites innovation like a breakfast cereal buffet or an afternoon slice of cake. And we don't hesitate to use our associate discount – after all, we're as enthusiastic about style as our customers. The way we work?  It's so much more than what happens between the weekends. It empowers us to think, create, and innovate, so we can deliver the first-rate experience today's customer’s demand. Rue Gilt Groupe GDPR/CCPA Pre-Collection Notice for Job Applications: We collect personal information (PI) from you in connection with your application for employment with Rue Gilt Groupe, including identifiers, contact information, employment and education history, and related information. We use this PI for purposes related to evaluating your application and potential employment. Depending on your location, you may have rights under GDPR or U.S. state privacy laws. For additional details or if you have questions, please see our GDPR Applicant Privacy Notice and CCPA Applicant Privacy Notice or contact us at recruitingcoordinator@ruegiltgroupe.com.

Location: Boston Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW The Business Recruiter, GTM partners with Harvey's go-to-market leadership to attract and close top talent across Sales, Customer Success, Partnerships, and Revenue Operations. Sitting within the Talent organization under the North America Business Recruiting team, this role owns full-cycle recruiting for some of Harvey's highest-volume and most strategically critical functions. The Senior Business Recruiter drives hiring velocity and pipeline quality while operating as a trusted advisor to hiring managers navigating rapid growth across multiple geographies. They partner cross-functionally with Recruiting Operations, People Business Partners, and Sales leadership to ensure process rigor without sacrificing speed or candidate experience. This is an opportunity to shape how a category-defining AI company builds its revenue engine during a period of exceptional growth. WHAT YOU'LL DO - Own full-cycle recruiting for GTM roles across Sales, Customer Success, Partnerships, and Revenue Operations — from sourcing through close — across multiple North American locations. - Build and maintain high-quality, diverse candidate pipelines through proactive sourcing, referral cultivation, and market mapping. - Serve as a strategic partner to hiring managers: leading intake meetings, setting calibration bars, advising on market conditions, and resetting expectations when needed. - Drive process improvement and operational excellence — identifying bottlenecks, implementing scalable workflows, and tracking recruiting metrics to inform decisions. - Manage competing priorities across multiple open requisitions while maintaining a high-touch candidate experience and meeting aggressive hiring timelines. WHAT YOU HAVE - 4+ years of full-cycle recruiting experience, with a meaningful portion supporting GTM or business functions (Sales, CS, RevOps, Partnerships) at a high-growth technology company. - Demonstrated ability to partner with senior hiring managers, influence decisions with data, and manage stakeholder expectations in a fast-paced environment. - Strong sourcing toolkit and a creative approach to building pipelines in competitive talent markets. - Excellent project management skills with the ability to juggle multiple requisitions, drive process improvements, and maintain attention to detail under pressure. - Clear, confident communication skills and high emotional intelligence — comfortable navigating ambiguity and competing priorities with poise. COMPENSATION $96,000 - $145,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-NB1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Partner Solutions Manager, Strategic Partnerships, you'll own the technical strategy and validation of joint work with GitLab's strategic partners: hyperscalers, artificial intelligence (AI) labs, AI-native companies, and development, security, and operations (DevSecOps) vendors. You'll work with partners, Product, and Research and Development (R&D) to turn partner and customer needs into integrations, influence product design, and build the business case for each joint effort, from the first architecture review to a shipped integration. In this role you will also own the AI model evaluation process with our model partners, working closely with our R&D teams to assess new models ahead of release and ensure GitLab is built on the best-performing models for our customers. Unlike a customer-facing Solutions Architect role focused on adoption, you'll work with partners to make GitLab better. This role has no sales quota or variable pay. At GitLab, our mission is simple: to enable everyone to contribute to and co-create the software that powers our world. Our platform doesn't just bring people together-it unites teams and organizations, breaking down barriers and redefining what's possible in software development. What You’ll Do Own the end-to-end technical strategy for assigned strategic partners, connecting technical requirements with joint business objectives. Turn partner technology and roadmaps into integration, architecture, and product opportunities across the GitLab platform, from planning to monitoring and AI agents and model integrations. Resolve complex technical issues across GitLab and partner systems, including cloud architecture, tool integrations, and AI model and agent evaluation and integration. Build working prototypes to validate concepts with partners. Manage the end-to-end AI model evaluation process with our model partners, coordinating with R&D to secure early access, align on evaluation criteria and timelines, and translate results into partnership and product roadmap decisions. Design and facilitate partner workshops, architecture reviews, and cloud financial management (FinOps) sessions, bringing in the right participants and documenting outcomes and next steps. Build business cases for joint technical efforts, defining expected gains, costs, and resources, and securing agreement from partner managers, R&D, and leadership. Bring partner requirements and technical feedback into Product and R&D discussions to influence product design and the roadmap. Coordinate Engineering, Product, FinOps, Finance, Sales, and Marketing with partner technical teams to move joint work from evaluation to delivery. Track cloud, AI, and DevSecOps developments to advise partnership investment, and share reusable findings through documentation, the handbook, reference architectures, and technical content. What You’ll Bring Experience as a Senior Solutions Architect, Partner Solutions Architect, Partner Engineer, or in a similar senior technical role. Experience with technology partners or alliances is strongly preferred. An end-to-end understanding of the software development lifecycle, continuous integration and continuous delivery (CI/CD), and DevSecOps, with the ability to use GitLab in depth. Hands-on cloud architecture experience with at least one hyperscaler: Google Cloud, Amazon Web Services (AWS), or Microsoft Azure. Cloud cost or FinOps experience is a plus. Working knowledge of AI model evaluation frameworks and agent technology, including large language model (LLM) application programming interfaces (APIs), agent frameworks, and Model Context Protocol (MCP), and how they fit into developer workflows. Experience designing and facilitating technical workshops with senior technical and business stakeholders, and building business cases that scope work, estimate gains and costs, and size resources. An autonomous, ownership-driven approach: you identify work and move it forward without waiting for a project backlog. Clear, concise written and spoken communication, adapting technical and commercial trade-offs for audiences from engineers to executives. Ability to travel about once a quarter and work hours that overlap with Europe, the Middle East, and Africa (EMEA). If you're on the US West Coast, expect to start around 7 a.m. Pacific Time; when the day ends is flexible. About the team You'll join Strategic Partnerships and report to the VP, Corporate Development and Strategic Partnerships. The team manages GitLab's relationships with hyperscalers, AI companies, and select DevSecOps companies, acting as the business owner and coordinating work across hosting contracts, product integrations, go-to-market activities, purchasing, and partner-specific marketing. Partner managers and directors lead each relationship; you'll own the technical side across partner types and collaborate with R&D, Engineering, FinOps, Finance, Sales, and Marketing. The role is remote, with Eastern Time preferred and other US time zones possible. How GitLab will support you 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 Home office support 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. 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 $115,200 — $194,400 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: New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE The ways customers buy from us are multiplying as fast as the business is growing. Enterprise order forms. Private offers through AWS, GCP, and Azure. A self-serve business running on usage-based pricing, with commits, drawdowns, and true-ups behind it. Each one is a distinct path from signature to cash, and each one runs today on some mix of manual steps and automation that grew up with the business. This role owns what comes next. You'll run order operations end to end - booking, provisioning, invoicing, amendments, and renewals - on a stack we picked deliberately and recently: Salesforce, Metronome for metering and billing, Rillet for ERP. The stack is modern, but the processes on top of it were built to keep up with growth, not designed to scale. Your job is to decide what each one should become: keep it, rebuild it, automate it, or retire it. Our bias is to invest in systems rather than in a growing queue of manual work, so you'll be setting the automation roadmap at the same time you're operating the function - deciding what a person should touch, what a workflow should handle, and what should never have been a step in the first place. Getting that right is what lets order volume grow by an order of magnitude without ops growing with it. This is a senior individual contributor role. You'll own order operations, working closely with Deal Strategy and Operations, GTM Systems, Finance and Accounting, and Enterprise Engineering. Those teams are your partners and much of your build capacity. Bringing them onto one shared order-to-cash roadmap is a core part of the job, and the reason we're hiring someone senior to do it. WHAT YOU'LL DO - Own the order-to-cash path end to end: order form intake from Deal Desk, booking in Salesforce, plan and entitlement setup in Metronome, invoicing and revenue recognition through Rillet, and the amendments, true-ups, and renewals that follow - Build out cloud marketplace operations across AWS, GCP, and Azure: private offer setup, usage reporting to each marketplace, and reconciling marketplace disbursements back to what we billed. Every new channel launches against defined readiness criteria, so marketplace deals run on the same clean path as direct ones - Own self-serve billing operations: usage metering, plan changes, dunning, credits, rebills, refunds, and the escalations behind them - Own billing and usage completeness at month-end close. Every order, credit, and metered event is reconciled between Metronome and Rillet before revenue is recognized, not after - Partner with Deal Strategy and Product as our pricing evolves. Bring the billing view into pricing and deal-structure decisions early, so new models and non-standard terms can be billed accurately and automated, not handled by hand - Set the automation roadmap. Instrument the path, put a number on every place a human touches an order, and decide what gets automated, what gets designed away, and what stays manual on purpose - Treat every billing error as a defect: find the root cause and fix the class of problem, not just the one invoice - Ship automations yourself where that's fastest, and partner with GTM Systems and Enterprise Engineering where the work belongs in core systems or the product - Write the playbook and the controls behind it: approvals, segregation of duties, reconciliations, and exception handling, built so order ops scales through systems rather than headcount and holds up under audit - Own three numbers and move them: touchless order rate, signature-to-provisioned cycle time, and billing accuracy WHAT WE'RE LOOKING FOR - 6+ years in order management, order-to-cash, billing operations, or revenue operations at a B2B SaaS company, including time building the function at an early-stage or fast-scaling one - Hands-on fluency with a modern billing and ERP stack. We run Salesforce, Metronome, and Rillet - you should know something comparable well enough to have opinions, and get to depth on ours quickly - Real experience with usage-based pricing. Per-seat is straightforward; metered consumption, commits, drawdowns, overages, and true-ups are where order ops gets interesting, and that's most of our business - Working knowledge of ASC 606 and month-end close. You don't need to be an accountant, but you should know what Revenue Accounting needs from billing data and why - Cloud marketplace experience (AWS, GCP, or Azure private offers), or a track record of getting deep on a system like that fast - A history of automating your own job. We'll ask you to walk us through a manual process you deleted: what it cost before, what you built, and what it costs now - The ability to build alignment across teams with different priorities and get to a decision, without relying on org authority - Comfort shipping a v0 earlier than feels comfortable, then iterating with real feedback NICE TO HAVE - SQL, Python, or low-code tooling in your own hands rather than on someone else's backlog - Experience building agents or LLM workflows for internal operations. We'd like to run more of our own back office on the LangSmith Platform, wherever it's the right tool and meets the same accuracy bar as the rest of order-to-cash - Audit prep or SOX readiness experience Compensation: $155,000 - $185,000 salary + options COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE The ways customers buy from us are multiplying as fast as the business is growing. Enterprise order forms. Private offers through AWS, GCP, and Azure. A self-serve business running on usage-based pricing, with commits, drawdowns, and true-ups behind it. Each one is a distinct path from signature to cash, and each one runs today on some mix of manual steps and automation that grew up with the business. This role owns what comes next. You'll run order operations end to end - booking, provisioning, invoicing, amendments, and renewals - on a stack we picked deliberately and recently: Salesforce, Metronome for metering and billing, Rillet for ERP. The stack is modern, but the processes on top of it were built to keep up with growth, not designed to scale. Your job is to decide what each one should become: keep it, rebuild it, automate it, or retire it. Our bias is to invest in systems rather than in a growing queue of manual work, so you'll be setting the automation roadmap at the same time you're operating the function - deciding what a person should touch, what a workflow should handle, and what should never have been a step in the first place. Getting that right is what lets order volume grow by an order of magnitude without ops growing with it. This is a senior individual contributor role. You'll own order operations, working closely with Deal Strategy and Operations, GTM Systems, Finance and Accounting, and Enterprise Engineering. Those teams are your partners and much of your build capacity. Bringing them onto one shared order-to-cash roadmap is a core part of the job, and the reason we're hiring someone senior to do it. WHAT YOU'LL DO - Own the order-to-cash path end to end: order form intake from Deal Desk, booking in Salesforce, plan and entitlement setup in Metronome, invoicing and revenue recognition through Rillet, and the amendments, true-ups, and renewals that follow - Build out cloud marketplace operations across AWS, GCP, and Azure: private offer setup, usage reporting to each marketplace, and reconciling marketplace disbursements back to what we billed. Every new channel launches against defined readiness criteria, so marketplace deals run on the same clean path as direct ones - Own self-serve billing operations: usage metering, plan changes, dunning, credits, rebills, refunds, and the escalations behind them - Own billing and usage completeness at month-end close. Every order, credit, and metered event is reconciled between Metronome and Rillet before revenue is recognized, not after - Partner with Deal Strategy and Product as our pricing evolves. Bring the billing view into pricing and deal-structure decisions early, so new models and non-standard terms can be billed accurately and automated, not handled by hand - Set the automation roadmap. Instrument the path, put a number on every place a human touches an order, and decide what gets automated, what gets designed away, and what stays manual on purpose - Treat every billing error as a defect: find the root cause and fix the class of problem, not just the one invoice - Ship automations yourself where that's fastest, and partner with GTM Systems and Enterprise Engineering where the work belongs in core systems or the product - Write the playbook and the controls behind it: approvals, segregation of duties, reconciliations, and exception handling, built so order ops scales through systems rather than headcount and holds up under audit - Own three numbers and move them: touchless order rate, signature-to-provisioned cycle time, and billing accuracy WHAT WE'RE LOOKING FOR - 6+ years in order management, order-to-cash, billing operations, or revenue operations at a B2B SaaS company, including time building the function at an early-stage or fast-scaling one - Hands-on fluency with a modern billing and ERP stack. We run Salesforce, Metronome, and Rillet - you should know something comparable well enough to have opinions, and get to depth on ours quickly - Real experience with usage-based pricing. Per-seat is straightforward; metered consumption, commits, drawdowns, overages, and true-ups are where order ops gets interesting, and that's most of our business - Working knowledge of ASC 606 and month-end close. You don't need to be an accountant, but you should know what Revenue Accounting needs from billing data and why - Cloud marketplace experience (AWS, GCP, or Azure private offers), or a track record of getting deep on a system like that fast - A history of automating your own job. We'll ask you to walk us through a manual process you deleted: what it cost before, what you built, and what it costs now - The ability to build alignment across teams with different priorities and get to a decision, without relying on org authority - Comfort shipping a v0 earlier than feels comfortable, then iterating with real feedback NICE TO HAVE - SQL, Python, or low-code tooling in your own hands rather than on someone else's backlog - Experience building agents or LLM workflows for internal operations. We'd like to run more of our own back office on the LangSmith Platform, wherever it's the right tool and meets the same accuracy bar as the rest of order-to-cash - Audit prep or SOX readiness experience Compensation: $155,000 - $185,000 salary + options COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Afton, Texas Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: You are a hands-on construction leader within our Data Centers team, who has delivered large-scale, mission-critical data center or comparable infrastructure from start of construction through commissioning and turnover. You know what it takes to run a major building on a live campus: sequencing trades, protecting the schedule, and keeping safety and quality from becoming trade-offs. You lead teams from the front, hold contractors and partners to a high standard, and raise issues early and honestly. You are equally comfortable walking the building with a superintendent and presenting schedule, cost, and risk to senior leadership. You believe the digital economy depends on infrastructure delivered right, and delivered on time. What You'll Do: As Senior Manager, Data Center Construction at Galaxy's Helios campus in Afton, TX, you will be Galaxy's accountable leader for construction of a large-scale data center building on the campus. You will report to the VP, Campus Construction Manager and work alongside peer Senior Managers who each own a building or scope, with shared accountability for the safety, schedule, cost, and quality standards that keep the campus aligned. You will own your building from preconstruction handoff through commissioning and turnover to operations, and you will lead the on-site Galaxy team and contractor relationships that make it happen. Key Responsibilities: Own Data Center Facility Delivery: Serve as the single point of accountability for construction of a large-scale data center facility, from GMP handoff through energization, Level 1-5 commissioning, integrated systems testing (IST), and turnover to operations. Drive the facility to its safety, schedule, cost, and quality commitments. Manage Schedule and Progress: Own the building schedule and track progress against baseline. Identify critical-path threats early, and direct recovery and mitigation plans before they affect milestones. Provide clear schedule inputs to the campus master schedule. Manage Project Risk and Contingency: Maintain a quantified risk register covering schedule, cost, supply chain, labor, weather, and trade-interface risks. Control owner contingency drawdown, run structured risk reviews with the GC and trade partners, and drive mitigation before exposure becomes impact. Drive Safety Culture: Set and enforce Galaxy's safety standards at the building level. Partner with Galaxy EHS and contractor safety leadership to sustain a zero-incident environment, and hold the team accountable for leading indicators as well as outcomes. Oversee Contractors and Trade Partners: Manage the day-to-day and executive-level relationship with the general contractor and key trade partners. Ensure alignment on milestones, quality, safety, staffing, and commercial performance, and escalate issues early. Control Cost and Change: Oversee pay applications, change orders, forecasts, and budget tracking for your building under the GMP. Enforce disciplined change management and provide accurate cost reporting to campus and executive leadership. Lead Integrated Project Controls and Forecasting: Own the facility's integrated cost, schedule, and cash flow forecast on a monthly cycle. Validate GC-reported progress against independent percent-complete and earned value analysis, report cost-to-complete and forecast variances, and give development and finance leadership a reliable view of capital deployment and funding requirements. Administer the Commercial Framework: Administer the GMP agreement and related owner contracts, including notices, allowances, buyout and savings, delay and impact claims, backcharges, retainage, and lien waivers. Protect Galaxy's commercial position and resolve disputes at the lowest level possible, partnering with Legal as needed. Manage OFCI Integration: Work closely with Pre-Construction and the OFCI procurement and logistics teams to ensure UPS, generators, chillers, switchgear, and other owner-furnished equipment arrive, are set, and are installed without impacting the construction schedule. Drive Utility and Energization Readiness: Coordinate with the serving utility, interconnect and substation teams, and Galaxy's power development group to align permanent power availability, energization sequencing, and test windows with construction and commissioning milestones. Treat power delivery as a critical-path item and escalate early. Lead Commissioning and Turnover: Partner with the on-site commissioning manager, 3rd party Cx agent, and operations teams to ensure systematic testing, closeout, and clean turnover of the building to operations. Manage Customer Delivery Commitments: Serve as the construction lead for customer-facing delivery milestones, including ready-for-service dates. Ensure facility handoff meets contractual commitments and the customer's acceptance criteria. Ensure Quality: Enforce Galaxy's QA/QC standards on your building. Escalate and resolve systemic quality issues with contractors and design partners. Coordinate Across the Campus: Work with peer Senior Managers and the VP to resolve cross-building conflicts in resources, laydown, site logistics, access, utilities, and sequencing. Advance Lean and Prefabrication: Apply Galaxy's modularization, prefabrication, and lean delivery initiatives on your building, and capture lessons learned so each building is more repeatable than the last. Manage Regulatory and Inspection Requirements: Work with local authorities, inspectors, utilities, and consultants to ensure compliance with codes and permit requirements. Report to Leadership: Provide frequent, candid status updates to senior leadership and communicate building status, risks, and forecasts to internal stakeholders across Pre-Construction, Design Engineering, Operations, and Security. What We're Looking For: Bachelor's degree in Construction Management, Engineering, Architecture, or equivalent experience. 7+ years of experience delivering large-scale mission-critical projects, with at least 3 years in a senior role leading a project or building team through construction. Demonstrated success delivering a data center, or comparable mission-critical facility, from start of construction through commissioning and turnover. Working knowledge of construction delivery models (including GMP), risk management, and contractor oversight. Technical fluency across MEP, commissioning, civil, and structural systems. Experience integrating OFCI equipment and supporting commissioning. Strong command of cost control, change management, and schedule analysis. Familiarity with Procore, Primavera P6, Bluebeam, and SharePoint. Full-time, on-site presence at Helios (Afton, TX) What You Bring: A track record of leading and developing high-performing construction teams. Excellent communication skills and the ability to influence technical and executive stakeholders. Sound judgment under pressure and a bias toward early, honest escalation. A commitment to safety, quality, and executional excellence. A passion for building world-class infrastructure that supports the growth of the digital economy. What We Offer: Competitive base salary and discretionary bonus Paid Time Off Company-paid health and protective benefits for employees, partners, and other dependents Company Paid Holidays (11) 3% 401(k) company contribution Generous paid Parental Leave Free virtual coaching and counseling sessions through Headspace Opportunities to learn about the Crypto industry Free daily snacks and weekly meal in-office Smart, entrepreneurial, and fun colleagues Employee Resource Groups Apply now and join us as we grow the economy that runs on code. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: Lisbon; Portugal Workplace: Hybrid ROLE HIGHLIGHTS: - Role: Forward Deployed AI Engineer - Department: Forward Deployed Engineering - Location: Portugal (Lisbon) - Reports to: VP, Forward Deployed Engineering - Working type: Hybrid (On-site at customer locations approx. 50% of time) - Must be eligible and able to attain relevant national and NATO security clearances. - Must be based in-country and native level speaker of the country you're deploying to. THE MISSION OF THE FORWARD DEPLOYED AI ENGINEER In this role, you'll be the hands-on AI builder defense and intelligence customers rely on. You’ll deploy ICEYE’s intelligence platform into secure (often air-gapped) environments and rapidly ship AI-powered workflows on top of it—everything from Docker-based deployments to RAG systems fusing SAR imagery with intelligence reports. This is a ship-code-daily role: turning raw satellite data into mission-critical tools analysts use to protect nations. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. DAY TO DAY RESPONSIBILITIES: PLATFORM DEPLOYMENT & INTEGRATION - Deploy ICEYE's intelligence platform into customer secure environments (on-premise, air-gapped networks, classified data centers). - Build and maintain containerized applications (Docker) and manage deployments in customer Kubernetes clusters. - Develop APIs and data pipelines connecting ICEYE systems to customer C4ISR infrastructure and intelligence tools. - Troubleshoot deployment issues in disconnected environments without external internet access. AI SOLUTION DEVELOPMENT & CUSTOMIZATION - Build Retrieval-Augmented Generation (RAG) systems that combine ICEYE SAR data with customer intelligence documents for context-aware analysis. - Develop AI agents and workflows using frameworks like LangChain, LangGraph, or similar tools to automate analytical tasks. - Implement prompt engineering strategies and conversational AI interfaces that enable analysts to query satellite data using natural language. - Create Model Context Protocol (MCP) integrations connecting AI systems with customer data sources. DATA FUSION & INTELLIGENCE WORKFLOWS - Build data fusion pipelines combining SAR imagery with additional intelligence sources (AIS, RF signals, optical imagery, SIGINT). - Develop automated workflows that correlate and cross-reference information across different data modalities. - Create lightweight tools, dashboards, and alerting systems tailored to customer operational needs. CUSTOMER ENGAGEMENT & RAPID PROTOTYPING - Work embedded with intelligence analysts, data scientists, and military operators to understand mission-critical problems. - Rapidly prototype AI-powered solutions (code first, polish later) that address immediate operational requirements. - Conduct hands-on training sessions on platform capabilities and AI workflow usage. - Gather customer feedback and translate it into technical requirements for ICEYE's product and engineering teams. WHAT WE ARE LOOKING FOR MUST HAVE SKILLS: - 3+ years hands-on software engineering building and deploying production systems. - Strong Python programming skills (required) plus one of: Go, TypeScript, or Rust. - Hands-on experience with LLMs, prompt engineering, and RAG systems. - Working knowledge of agent frameworks (LangChain, LangGraph, pydantic-ai) and vector databases. - Experience with Docker and deploying in secure / isolated / air-gapped environments. - Practical experience with APIs, data pipelines, and integrating systems in production, - Familiarity with Linux and basic Kubernetes operations. - Builder mindset: ship fast, iterate with feedback, and prioritize working solutions over perfect architecture. - Strong communication + customer engagement, able to work embedded with intelligence analysts / military operators. - Strong spoken and written English, able to explain technical concepts to non-technical stakeholders. - Willingness to travel 40–60% to customer sites within the region. NICE TO HAVE SKILLS: - Experience in defense, intelligence, or government operational environments. - Deploying to on-prem data centers and/or air-gapped networks. - Familiarity with geospatial data, satellite imagery, or remote sensing. - Experience with MCP integrations, multi-agent systems, or agentic workflows. - Deeper Kubernetes, IaC (Terraform/Ansible), and/or offline CI/CD. - Understanding of intelligence analysis workflows and defense/government requirements. - Experience with data fusion, multi-source intelligence integration, or GIS tools (ArcGIS, QGIS). - Background in solution engineering, technical consulting, or customer success. - Experience in defense tech (e.g., Palantir, Anduril, Scale AI, similar startups). APPLICATION PROCESS - Talent Acquisition Interview - Take home task - Hiring Manager Interview - Hiring Team Interview - Offer Decision WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing—at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com https://www.iceye.com

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. 🚀 Engagement Management is a new and fast-growing practice at ClickUp, and it's quickly becoming central to how we serve our enterprise customers. Our EMs bring program leadership, service delivery and change management together in one role. As a ClickUp Senior Engagement Manager you will lead the formation and orchestration of post-sale strategy and execution for the company’s largest and most strategic clients. We're looking for someone hungry, who excels in building, and who takes genuine pride in the quality of their work. Here, Engagement Managers are the single point of accountability for outcomes. You own everything between the contract being signed and the client seeing measurable results: what was sold gets delivered, on time and on margin, and we can prove it worked. You'll lead enterprise SaaS implementations across the full engagement lifecycle, from shaping scope in pre-sales, mobilizing the team and delivery, go-live, stabilization and a clean handover to the account team. You'll run work-stream programs with Paid TAMs, AI specialists, Product and Engineering, and the client's own project team, and you'll be the trusted advisor to the client's executive sponsor.   Simply put: you are the single point of accountability for delivery, the client's partner in getting value from ClickUp, and a thought leader for how we deliver.   YOUR ROLE - Stakeholder Management - Serve as the primary client contact for delivery - Build strong relationships with stakeholders while ensuring delivery remains aligned to client objectives and contractual commitments. - Build trusted relationships with client executive sponsors and program leads at VP and C-level, acting as their primary point of contact for delivery. - Navigate complex enterprise stakeholder environments and competing priorities across client functions (IT, PMO, business sponsors, procurement) and broker alignment when they conflict. - Project Delivery Oversight - Deliver engagements against agreed scope, schedule, hours budget and quality, using rigorous change control to protect timelines and delivery margin. - Translate customer business requirements into internal deliverables and milestones - Own engagement governance, including kickoffs, weekly working sessions, sponsor check-ins and SteerCos, and provide clear, concise status reporting to clients and internal stakeholders. - Lead and coordinate multidisciplinary teams, fostering a collaborative, accountable and high-performing delivery culture while providing coaching, direction and support. - Proactively manage risks, issues and dependencies through the RAID log, and act as the primary escalation point. - Manage engagement financials, including hours burn, forecasting, utilisation and margin, flagging overrun risk early and agreeing recovery plans. - Drive AI adoption - Guide clients from manual workflows to AI-assisted and agent-driven operations, and own post-go-live adoption outcomes. - Drive Value and Business Outcomes - Identify expansion opportunities through delivery and co-sell with Account Executives, bringing the delivery credibility that secures follow-on work. - Establish a value baseline before configuration begins, track benefits through go-live, and produce the value assessment that underpins renewal and expansion. - Governance - Design and run governance mechanisms - Track delivery efficacy, timelines, value realization and customer experience - Create continuous-improvement mechanisms - Change Management & Communication - Own communications around delivery status, risks and outcomes - Manage escalation and communication across customer/internal teams - Assess change readiness and resistance across impacted teams; build sponsor and champion networks to carry the rollout. - Design the communications and enablement plan with the client, and sequence go-live to match the organization's capacity for change. - Role Development - Contribute to building the Engagement Management practice by iterating on templates, playbooks and AI workflows that make every engagement faster and more consistent.   YOUR SKILLS AND EXPERIENCE - 5+ years of software and/or services delivery experience, with at least 2 years as the accountable project, program or engagement lead. - Proven track record taking enterprise SaaS deployments from kickoff through go-live and into adoption, ideally in work management, PSA, CRM, ITSM or collaboration platforms. - Strong grasp of SaaS implementation fundamentals: workspace and data architecture, permissions and SSO, integrations, data migration, change management and enablement. No coding required, but you can challenge an unrealistic technical scope. - Comfortable with Agile, Waterfall and hybrid delivery, and knowing which one the client actually needs. - Commercial acumen: you've managed engagement budgets, SoWs, change requests and margin, and you know when to push for expansion vs when to stabilize. - Executive presence: you can run a SteerCo, deliver bad news early with a recovery plan, and hold a line on scope with a CIO in the room. - Experience leading cross-functional and distributed teams you don't directly manage, across client, partner and internal resources. - Strategic judgment to separate genuine product gaps from client process or training gaps. - Hands-on with AI: you already use AI to work faster, and you can credibly advise clients on where agents and automation fit. - Excellent written and verbal communication. Status reports people actually read.   Nice to have: Experience in work management or SaaS software, professional services firms, agencies or regulated industries. PMP Certification.   WHAT YOU'LL LOVE ABOUT WORKING HERE - Impact: Lead high-visibility enterprise engagements with global brands, and see the result in their day-to-day work. - Build something: Engagement Management is a new function. You'll help define the methodology, tooling and AI workflows that become the standard. - AI at the centre: Work on the frontier of AI-driven work management, with ClickUp Brain and Super Agents in your own delivery toolkit. - Career growth: A clear path from Engagement Manager to Senior or Principal Engagement Manager. - Community: Learn alongside Paid TAMs, AI specialists and delivery leaders across EMEA and NA. 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 Workplace: Remote Hi, we’re Gravie. Our mission is to create health benefits that actually benefit small and midsize businesses and their employees. Our innovative benefit solutions and services are developed and delivered by a diverse group of unique people. We encourage you to be your authentic self - we like you that way. We’re building a near real-time streaming data platform on Kafka and Flink that turns operational data from across the business into canonical, contract-validated models, serving both operational applications and agentic workloads. We seek a Senior Data Engineer to build, extend, and operate it, owning the platform in production against its latency and throughput SLOs. This is a hands-on role with meaningful ownership of a live production platform. You are self-driven, calm under production pressure, and comfortable owning streaming systems in a regulated environment. You Will: Share full-lifecycle ownership of the streaming platform - architecture, implementation, production operations. - Run the platform in production: own latency/throughput SLOs, monitoring and alerting (e.g. Datadog) - including replays, per-source backfills, connector-failure recovery, Flink checkpoint/savepoint recovery, dead-letter triage, and tuning for spiky load from batch-driven upstream sources. - Build and extend streaming pipelines that ingest CDC events from OLTP databases and SaaS sources into canonical, contract-validated form, and define standards to govern changes to them over time. - Transform and enrich in Apache Flink, including stateful processing and cross-stream joins that correlate events into unified lifecycle entities, with event-time handling for late and out-of-order data. - Enable secure, governed data access over PHI: classification and row/column controls applied as data is served to consumers, in partnership with Security and Compliance. - Make it reliable and observable: idempotent/replayable pipeline design, data-quality validation, runbooks, and observability the broader data team can rely on. - Provision as code: define the platform (streaming, processing, storage, and catalog services on AWS) in CDK with CI/CD for data pipelines, and right-size for cost against the latency SLO. - Partner across teams: work with upstream producers on source changes and contracts, with downstream consumers on access and data needs, and with stakeholders to turn requirements into what the platform delivers. - Demonstrate commitment to our core competencies of being authentic, curious, creative, empathetic and outcome oriented. You Bring: - 6+ years building and operating production data systems, including demonstrated ownership of streaming or event-driven pipelines - on-call, incident response, SLOs, runbooks, and recovery, not just development. - Deep, production experience with Apache Kafka (MSK preferred) - partitioning, consumer groups, idempotent semantics, Kafka Connect, and replay/backfill under load. - Strong, hands-on production experience with Apache Flink or a comparable stateful stream processor, in Java or another JVM language - state management, checkpointing, watermarks, and exactly-once sinks. - AWS-native data engineering across streaming, processing, storage, and catalog services (e.g. MSK, EMR, Glue, S3, Athena), with infrastructure-as-code - AWS CDK (preferred) or Terraform - CI/CD for data pipelines, and cost awareness. - Comfort debugging distributed data pipelines (consumer lag, data skew, backpressure, checkpoint failures, late/out-of-order events) with observability tooling (e.g. Datadog/CloudWatch). - SQL and Python, and experience building and consuming REST APIs. - An AI-forward engineering mindset, with demonstrated hands-on use of AI-assisted and agentic development tools, an opinion on where AI adds value (and where it doesn’t), and an understanding of agentic data consumption patterns of trusted operational data - including context management, lineage, provenance, permissions, freshness. - Change data capture and open table formats - CDC (e.g. Debezium) plus Iceberg or Delta Lake: schema evolution, partitioning, and table maintenance. - Data contracts and schema governance - schema registries and technical metastore (e.g. Glue Data Catalog, Unity Catalog), compatibility rules, Avro or Protobuf, and dead-letter handling. - Degree in Computer Science, Information Systems or another quantitative field, and comfort on the command line / a Unix-based OS (we are 100% Mac+Linux at Gravie). - Excellent communication skills and demonstrated success in driving results through influence and collaboration. Extra Credit: - Health insurance domain knowledge, including HIPAA Protected Health Information (PHI) and compliance frameworks governing it. - Familiarity with serving data to AI and agentic consumers - exposing canonical data as low-latency context or inputs for automated/agentic workloads. - Experience with a governance & data discovery catalog (e.g. Atlan, Alation, Collibra). - Previous venture-backed start-up company experience. A LITTLE MORE ABOUT US: - We know healthcare. Our company was founded and is still led by industry veterans who have started and grown several market-leading companies in the space. - We have raised money from top tier investors who share the same long-term vision as we do of building an industry defining company that will endure over the long run. We are well capitalized. - Our clients love us. Customer satisfaction rates among employees using Gravie health plans consistently rank above 80% – nearly 40 points above the industry average. - Our culture is unique. We tend to be non-hierarchical, merit-driven, opinionated but kind people who thrive working in a high-performance, fast-paced environment. People at Gravie care deeply about making a positive impact in the lives of the people we serve. BENEFITS Our unique benefits program is the gravy, i.e., the special sauce that sets our compensation package apart. In addition to standard health and wellness benefits, Gravie’s package includes alternative medicine coverage, flexible PTO, up to 16 weeks paid parental leave, paid holidays, a 401k program, transportation perks, education reimbursement, and 2 days of paid paw-ternity leave. JOB APPLICANTS If you apply for employment with Gravie, personal information collected via our applicant tracking vendor is subject to our standalone California Job Applicant Notice at Collection, accessible directly within the application workflow and separate from this Policy.

Location: North America Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. At Linear, we are committed to quality. Security is an essential part of that quality — not a layer that we add later, but something we build in from the start. We have a foundational security program we're proud of but, as Linear evolves our product and scales into enterprise, there's meaningful work ahead: staying ahead of vulnerabilities as our attack surface grows, responding fast and cleanly when incidents happen, and hardening our product and infrastructure. As Security Engineer at Linear, you'll be operating in a high-autonomy role with real scope, doing hands-on security work across the product and infrastructure we build. Location & work mode Linear is a remote-first company. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you’ll do Depending on your experience / skillset and our broader priorities, you could: - Operate, automate, and extend vulnerability management end-to-end: triage, prioritize, and drive remediation across product, infrastructure, and dependencies, and keep the program’s SLAs meaningful rather than theoretical - Run our bug bounty program: triage incoming reports, validate severity, work with engineering on fixes, and keep researcher relationships professional and responsive - Lead product security testing: threat model new features (including AI/agent-facing surfaces), review designs and code for security-relevant risk, and do hands-on testing (manual and tool-assisted) rather than relying solely on scanners - Be a primary responder for security incidents: lead investigation and containment, drive postmortems, and turn lessons into concrete hardening work - Own meaningful chunks of our cloud/infra security posture on GCP/k8s/Postgres: harden configurations, close gaps surfaced by audits or scanning, and partner with infra engineering on secure defaults - Build and maintain security tooling and automation, including using AI/LLM tooling to speed up triage, code review, and repetitive investigation work, so the program scales without linear headcount growth - Partner with the GRC/Trust function: feed real findings into the risk register and control evidence, and help make sure compliance requirements reflect actual engineering practice What we’re looking for - A generalist, senior-level security engineer (5+ years across security engineering, with real depth in at least two of: vulnerability management, product/appsec testing, incident response, and cloud security). We need breadth, rather than a narrow specialist in any one of these. - Hands-on and technical: you can read and reason about code (we use a lot of TypeScript), you’re comfortable in cloud environments (GCP a plus), and you can go deep on a finding rather than just filing a ticket for someone else to fix. You’re comfortable using AI coding/security tools as force multipliers (Linear Agent, Claude, Codex, etc). - Calm under pressure: you can lead an incident from first alert through postmortem without needing to be told what to do next - A builder: you’d rather write a script or ship a tool than repeat a manual process a third time - A pragmatic risk-reducer: you optimize for actually reducing risk, not for checking a box or maximizing findings count - Autonomy-oriented: comfortable setting your own priorities, working with significant independence, and knowing when to escalate - A clear communicator: able to explain a technical finding to a non-technical stakeholder and write it up so it’s actually actionable Our tech This is a hands-on security engineering role. You'll be running tools, reading/writing code, building detections, working in our cloud environment, and partnering closely with the engineers who build our product. Our stack is fronted by Cloudflare and runs on Google Cloud with k8s, Postgres, and Node. For day-to-day work, we use: - Linear, GitHub, Slack, and Google Workspace for collaboration - Claude and ChatGPT for general & engineering-specific AI tasks - Vanta for compliance automation and evidence collection Our security-specific tooling includes: - GitHub Advanced Security - RunReveal - SentinelOne What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Compensation For US-based candidates, the expected cash compensation range for this role is $240,000—$282,000. For sales roles, this range represents on-target earnings (OTE), including base salary and variable compensation; for all other roles, it represents base salary. Final compensation is determined based on job-related knowledge, skills, and experience. For sales roles, actual earnings vary based on sales performance. Equity is a meaningful part of all offers at Linear. Learn how we think and work - Read Me https://linear.app/readme a story about our mission - Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - Why and how we do work trials https://linear.app/blog/why-and-how-we-do-work-trials-at-linear Linear blog post - How we use AI in design https://designerfund.substack.com/p/ai-design-linear feature of Linear's design team - Scaling our real-time sync engine https://linear.app/blog/scaling-the-linear-sync-engine talk by our cofounder, Tuomas Artman, at Linear's 2023 offsite - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app. Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Location: London, United Kingdom Interaction Design Lead In a Nutshell IDEO London is seeking an Interaction Design Lead with a passion for creating human-centred experiences and helping teams do their best work. You’ll lead and co-lead multidisciplinary teams, stay close to the craft, and guide clients from complex questions to tangible products and services. Your work will span digital and physical experiences, including new ways for people to interact with AI. About IDEO London We're a global design consultancy where curiosity, empathy, and solving complex challenges drive us. For over 40 years, we've partnered with clients to innovate in healthcare, mobility, education, retail, and beyond. Here, every challenge is a chance to grow, connect, and create impact. Why is this role important for IDEO's work? Interaction Design is at the heart of creating meaningful human-centred experiences that meet people’s needs and help businesses move forward. As an Interaction Design Lead, you’ll bring together craft, creative direction and project leadership to help teams turn strategy into experiences people can use. As AI becomes part of everyday products and services, you’ll help us explore how people understand, trust and stay in control of systems that can act on their behalf. Once Here You Will Lead and co-lead multidisciplinary project teams from research and framing through design, prototyping and delivery, balancing people’s needs, client goals and technical possibilities Set a clear design direction and stay hands-on with journeys, flows, interfaces and interaction details, connecting individual touchpoints to a coherent product or service experience Build and guide prototypes at the right fidelity to answer the team’s questions, using Figma, code and AI-assisted tools to make ideas tangible early and test them with people Partner with researchers and technologists to plan experiments, test usability and accessibility, and use qualitative feedback and product data to refine designs and assess their impact Explore conversational and agentic UX: design how people express intent, approve actions, understand what an AI system is doing, redirect it and recover when things go wrong Own project plans, resource needs and delivery milestones; brief and delegate work clearly, spot obstacles early, and help the team navigate ambiguity while maintaining creative quality Be a main client point of contact, facilitate working sessions and present compelling design narratives; align stakeholders on decisions, trade-offs and next steps Help scope client challenges and shape proposals and follow-on opportunities with senior colleagues, drawing on project learnings and collaboration across Europe and beyond; travel as projects require Mentor designers, give actionable craft feedback and build an inclusive team culture; share methods and learnings across our London community, including thoughtful use of AI that protects client and participant information We're looking for someone with 6–8 years of professional experience in interaction design, digital product design, UX/UI or a related discipline, including 1–2+ years leading projects or multidisciplinary teams Strong interaction design craft and a portfolio showing how you turn complex requirements into clear experiences; advanced expertise in one or more areas of digital, visual, service or systems design, with fluency across others A strong grounding in human-centred design, research and usability testing, with the ability to guide a team from evidence to design decisions and measurable outcomes The ability to scope, brief and delegate design work, manage timelines and resources, and empower a small to medium team to take ownership of different parts of a project A keen eye for visual hierarchy, responsive interfaces, motion and micro-interactions, and the ability to critique work and offer clear, actionable feedback Strong prototyping skills in Figma or comparable tools, and confidence experimenting with AI-assisted ideation and prototyping while checking outputs and making your own design judgements A commitment to accessibility and inclusive design, and thoughtful judgement about privacy, bias and people’s agency when designing with AI The ability to connect interaction details to wider service and system needs, and work with engineers to understand technical constraints and bring designs to life Excellent storytelling, presentation and facilitation skills; confidence building trusted client relationships, aligning stakeholders and helping others succeed with empathy and openness An Interaction Design qualification or equivalent work experience, alongside curiosity, self-awareness and a willingness to give and seek feedback It's a bonus if you Have worked closely with product managers and engineers to take digital products or services from concept to launch and learn from their use Have used product analytics and experimentation to evaluate design decisions and improve outcomes Have designed conversational or agentic experiences, including human approval, transparent system behaviour, error recovery and hand-offs between people and AI Have built functional prototypes with code or AI coding tools, and can explain where these tools improved your process and where your judgement changed the outcome Have helped shape proposals, scope engagements or develop repeat client work Have contributed to design systems or reusable interaction patterns, or explored emerging technologies through creative experimentation What does IDEO offer you? Innovation and creativity: Dive into a variety of projects from creating breakthrough digital products and experiences, to designing new customer interactions, to building innovation capabilities – working alongside talented individuals across disciplines. Learning and growth: Whether it’s strengthening your project leadership, deepening your interaction design craft or exploring new technologies, we’re here to support your journey. Community and well-being: Collaboration and community are central to what we do. We foster moments for creativity, connection, and reflection, respecting the need for work-life balance. Projects with purpose: We partner with clients to use design as a means of realising their purpose and making a positive impact. We work 'upstream,' from defining the problem, designing possible solutions, and exploring what, why and how they might be brought to life. Compensation £70,000–£80,000 GBP, depending on experience Location This position is based out of our London studio. Some Previous Projects To Check Out To get a flavour of the work we do in London, take a look at these case studies: Climate action for SMBs – Designing a strategy and experience to help Sage’s SMB customers transition to net zero. Redefining retail with FEMSA – Designing Spin Premia, a digital loyalty experience connecting everyday shopping at OXXO with rewards and services. Sustainable packaging system – Helping H&M increase their sustainability and growth, by designing and scaling a universal packaging system for all of their brands. Commitment to Diversity At IDEO, we are committed to the work of advancing diversity, equity, and inclusion within our organisation and in the world. Our purpose of having disproportionate, world-changing impact through design is directly connected to our ability to bring many different perspectives to the table. This applies to our candidates, the people we hire, the clients and customers we serve, and the communities we learn from in our research. As a human-centred organisation, we are committed to working with and designing for people of every race, ethnicity, gender identity, sexual orientation, age, socio-economic status, physical ability or attribute, religion, national origin, or political belief. We recognize that this commitment requires ongoing work and sustained attention, as well as adaptation to new insights and best practices Application Requirements And Instructions If you identify with our values, are excited about great design, and would like to contribute to our community, we would love to see your CV, a cover letter and examples of your work. CV: please highlight experiences related to the ‘We’re looking for someone with’ and ‘It’s a bonus if you’ sections above Cover letter: please share why you are interested in this role and how it aligns with how you are looking to grow in your career. Work examples (confidentiality permitting): please include two projects that show your interaction design craft and project leadership. We’d love to see how you think, make and help a team move forward. In your work examples, focus on: The challenge you were trying to solve The context, users and client goals you were designing for Your specific design contribution and how you led or supported the team The research, design and prototyping methods you used, including any AI tools and how you evaluated their outputs Key design decisions, iterations and trade-offs, illustrated with flows, interfaces or prototypes The impact on people, the client and the team, and what you learnt from the outcome

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The AI Infrastructure team builds and operates the production systems that power intelligent agents at scale. This team sits at the foundation of the agent platform, ensuring that model inference, orchestration, and execution layers are reliable, observable, and performant under real-world load. Working closely with the Agent Systems team and broader infrastructure partners, this group owns the core primitives that enable agents to safely operate across internal systems. The environment is high-scale and high-stakes — systems serve millions of users and must meet strict reliability, latency, and correctness standards. This is a deeply production-oriented team. Engineers here combine strong systems thinking with applied ML infrastructure experience, building in Rust and operating services where performance and failure modes matter.   THE OPPORTUNITY - Design and build the infrastructure layer powering AI agent systems in production - Develop high-performance services that handle model inference, orchestration, and execution - Architect scalable systems capable of supporting millions of users and high request throughput - Build reliable ML infrastructure and MLOps patterns for model deployment, evaluation, and monitoring - Define guardrails, observability, and failure handling for agent-driven workflows - Optimize latency, throughput, and cost across inference and orchestration layers - Partner closely with the Agent Systems team to translate experimental prototypes into hardened production systems - Contribute to foundational infrastructure decisions in a high-scale, high-impact environment   WHAT YOU BRING - 5+ years of experience building and operating high-scale production systems - Strong Python skills and the ability to reason about systems performance and reliability - Deep understanding of distributed systems, reliability engineering, and performance optimization - Experience operating services serving millions of users or high-throughput workloads - Familiarity with ML infrastructure, model serving, or MLOps in production environments - Experience designing observability, monitoring, and failure recovery systems - Strong collaboration skills working across infrastructure and applied engineering teams - High ownership mindset in high-stakes production environment   NICE TO HAVES - Experience with Rust - Experience building infrastructure for agent-based or LLM-powered systems - Background in high-performance networking, async systems, or low-latency architectures - Experience with container orchestration and cloud-native infrastructure - Familiarity with evaluation frameworks and model performance monitoring at scale - Experience working in fast-moving 0→1 or platform-building teams Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: 🇧🇷 São Paulo / 🌎Remote Workplace: Remote A little bit about us: We are Belvo, an open finance API platform with the bold vision of democratizing access to financial services in Latin America. We enable any financial innovator to access and interpret financial data, as well as initiate payments from their end-users accounts. We’re turning the messy complexities of the Latin American financial ecosystem into a modern set of tools to access and interpret data and move money in a seamless and secure way. We’re a highly-technical, passionate, and driven team. We are more than 90 people and our team currently represents 20 nationalities. We have offices in São Paulo and Mexico City – while a large portion of us work remotely. We are tackling a very stimulating problem: connecting fintech innovators with legacy financial infrastructure. We strive to go beyond the limits of what is possible today and to do so in an elegant and developer-first way. Since starting our adventure in May 2019, we have raised $71m from the leading VC investors globally. You can read more about our company here https://belvo.com/about/ and about our team and culture here https://belvo.com/careers/. Also, head to our blog https://belvo.com/blog/ for more news about what we’re building and how we work https://belvo.com/blog/category/working-belvo/. About the team: - We work in cross-functional, autonomous teams. We follow continuous delivery best practices executed on top of a modern technology stack.  - Our products are built for developers, by developers. Technological excellence is at the heart of what we do.   - We are pragmatic and customer-focused. We strive to find the right set of trade-offs in order to validate our hypothesis as early as possible, iterating on our products based on customer feedback.  - We communicate transparently. We do weekly all-hands where we get together to discuss company performance and goals. - While we are global and remote-friendly, we also operate from our vibrant offices in CDMX and Sao Paulo. To accommodate the various time zones in which we are based, we ensure we’re always synced up for at least 3 hours per day. - Also, we are backed by some of the leading investors in Silicon Valley and Latin America, including Founders Fund, Kaszek Ventures, and YCombinator. The challenge The Intelligence Squad is Belvo's AI enabler team. One part of the squad builds the platforms and patterns that let every team at Belvo ship AI. This role sits in the other part: turning the financial data and payments we aggregate across Latin America into models that make real decisions, who looks creditworthy, which transaction is fraudulent, what category a payment belongs to, whether an income statement checks out. That data drives real financial outcomes for the people and businesses on the other end, so the bar for rigor is high. You'll be the data science reference in the squad. We're not hiring someone to execute a modeling backlog someone else wrote. We want someone who decides which problems are worth modeling, defines how we know a model is good enough, and raises the data science bar for everyone they work with. You'll be deep enough in statistics and ML to defend a modeling choice to anyone, whether this is a set of rules to simplify a problem or a complex model that you build. You'll be close enough to the business to turn a commercial problem into a modeling roadmap and a business case. And you'll be a strong enough engineer to take your models from notebook to production and own them there. Responsibilities - Model development and selection: Lead the design of statistical and ML models (classification, regression, ranking, NLP or LLM-based) for problems like risk scoring, fraud detection and transaction categorization. Choose approaches on their merits and defend those choices with data, not habit. - AI-leveraged delivery: Use agentic coding and research tooling as a core part of how you work: exploring data, generating and testing feature hypotheses, scaffolding pipelines, writing the service around the model. We care about the decisions you ship, not hours at the keyboard, and we expect you to keep compressing the gap between the two. - Feature engineering with business context: Work with Product and the business teams to figure out which signals in Belvo's financial data actually explain the outcome you're modeling, and translate an ambiguous business question into a well-scoped modeling problem. - Productionization and ownership: Take models past the notebook. Build or shape the pipelines, APIs and services that run them reliably in production, and own them once they're live: monitoring, drift, retraining, and retirement when the evidence says so. - Experimentation: Design and run experiments (A/B tests and offline evaluation) to confirm that a model change actually moves the metric it's meant to move. - Cross-functional partnership: Work closely with Engineering, Data Research, Product, and the rest of the Intelligence Squad to ship end to end, and with stakeholders across the business to keep your models grounded in what actually matters to them. - Business and customer partnership: Work directly with stakeholders and, when needed, customers. Translate ambiguous business questions into well-scoped problems, and explain trade-offs and impact clearly to non-technical audiences, executives included. - Staying current: GenAI moves weekly. We expect you to be genuinely plugged in: model releases, papers, and tooling, to hold an opinion on what's real versus hype, and to bring the useful parts back to the squad as a demo, a doc, or a session for our company-wide AI Chapter. - Framing the problem: Decide what's worth modeling. Push back when a rule, a heuristic, or a better data pipeline solves the problem without a model, and be willing to kill or retire your own model when the evidence says so. This position may be for you if - 5+ years of experience as a Data Scientist, Applied Scientist, or in a similar hands-on modeling role. - You've owned models end to end in production, from framing the problem to monitoring it live, and you can point to the measurable business impact they had. - You have a solid grounding in statistics and can explain how your models work at that level, not just how to call them. - You've built and compared more than one type of model (for example tree-based methods, regression, deep learning) for the same problem and can justify why you picked the one you shipped. - You're comfortable in Python for data science (pandas, scikit-learn, and at least one of TensorFlow or PyTorch) and in SQL for pulling and shaping your own data. - You've taken several models you built into production yourself, not just handed it off to someone else to deploy.You http://deploy.You understand engineering fundamentals: testing, version control, CI/CD, and how to write code someone other than you can maintain. - You've built with LLMs past the API-call level: tool use or agents, retrieval, structured outputs, and shipped at least one to production. You can explain how you knew it was good enough, which means you've built some form of evaluation, not just eyeballed outputs. - Agentic coding tools are part of your daily workflow, not a novelty. You can walk us through a specific task that used to take you days and now takes hours: how you set it up, what you delegated, and where you still don't trust the output. - You're proficient in written and spoken English. Amazing if - You've worked in fintech, financial risk, or another regulated data environment before. - You have a business or strategy background alongside data science (an MBA, consulting, or a product/strategy role). - You've worked in a customer-facing data science role, such as a forward-deployed engineer or a solutions/applied team at a data platform company. - You've worked with MLOps tooling for model versioning, monitoring, and automated retraining. - You've deployed models on AWS (for example SageMaker or an equivalent managed ML service). - You've written evals or an LLM-as-judge harness for a non-deterministic system, and have opinions about where that approach breaks. - You've used LLMs inside the data pipeline itself: labeling, extraction, categorization, and can say where they beat a classical model and where they quietly don't. Tech stack - Python is our primary language for data science and modeling (pandas, scikit-learn, and deep learning frameworks as needed). - SQL against a cloud data warehouse for data access and feature work.Claude deployed company-wide and Claude Code for every engineer. Agentic tooling is part of how we work daily, not a side experiment. - Cloud infrastructure on AWS, favoring managed services so you can focus on the modeling problem rather than infrastructure plumbing. - An experimentation platform for A/B testing and offline evaluation. - We use Datadog for service observability across the company. - We follow Continuous Integration and Continuous Delivery best practices. Our tech stack: - We’re building our platform using modern technologies, putting the focus on reliability and long-term maintainability - We primarily use Python on the backend. We use battle-tested technologies such as Django, and we are heavy users of Python’s asyncio for some parts of our stack - We use Javascript, Vue.js and Sass on the frontend. We are developing and leveraging our own design system and component library - We run our infrastructure on top of Amazon Web Services, leveraging managed services. We tend to favor the use of managed services wherever possible, in order to focus on our business problems - We observe and monitor our services using Datadog - We follow Continuous Integration and Continuous Delivery best practices Our process steps: At Belvo every hire is so important to us, that we share the decision to hire as a team. - People team chat - Take-home challenge - Challenge presentation - Team fit chat - Meet the founders Our perks: 🚀 Stock options (we are all owners and this is very important to us) 📈 Annual company bonus linked to company performance 🔆 Flexible working hours 🔝 Remote friendly 🐶 Pet friendly 👩🏻‍⚕️ Health Insurance 🎊 Paid time off on your birthday 💻 Renew your laptop every 3 years 🙋 Training Budget 😎 Team building events 🙀 Bank holidays swap within 30 days 🔋 Fitness/ wellness stipends 🚀 Yearly company offsite 🍒 Fresh fruit every week, all-you-can-drink tea and coffee 🏝 Extra days off accrued when completing 2, 3, 4 years and beyond at Belvo 🎳 Yearly department offsite

Location: Chicago Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW This is a second line leadership role where you will lead frontline managers, build a world class team, and own the regional Mid Market number for North America. You will be responsible for turning strong early traction into a repeatable, high performing got to market engine across legal and professional services. We are still early. That means you will operate across altitudes, setting strategy, building structure, and staying close to the field on critical deals. You will help define how Harvey shows up in the North American market, shape our sales motion, and ensure we are delivering real value to customers adopting AI in high stakes competitive environments. We are looking for someone who has led multi team segments, hired and developed high potential sales managers, scaled teams in ambiguity, implemented a rigorous sales playbook, and knows what great looks like in complex SaaS sales. About the NAMER Mid-Market Segment Mid Market at Harvey runs an “enter-lite” motion selling to law firms with 15–150 attorneys, including many of the most prestigious speciality and boutique firms in the world. . Reps own the full cycle, prospecting into net-new accounts, converting them, and driving expansion You'll inherit a team of Mid Market Sales Managers and their AEs based across western NAMER and will be the primary owner of how that motion runs and scales across the region. WHAT YOU'LL DO - Hire, lead, coach and develop a team of Mid Market Sales Managers across North America driving accountability for net new logo and expansion ARR targets. - Own and evolve the NAMER Mid-Market playbook end to end- ICP and segmentation criteria, qualification methodology (e.g., MEDDIC/MEDDPICC), deal stage definitions, discounting and deal desk guardrails, and forecasting cadence, so the motion is repeatable across every manager and AE in the region. - Implement and maintain a rigorous sales operating cadence, including seller onboarding, enablement, coaching, pipeline generation, and deal execution. - Drive the regional sales strategy, including territory design, coverage models, and go-to-market execution across the U.S. and Canada. - Own NAMER mid market forecasting and pipeline health, providing accurate reporting to senior leadership. - Hire, coach, and retain top managerial talent; build a strong leadership bench across the region. - Partner with global mid market leadership (EMEA and APAC) to keep the playbook, methodology, and comp/accelerator structure consistent globally while localizing it for NAMER buyer behavior and legal market dynamics. - Develop executive relationships with Harvey's highest value Mid Market customers across the region. - Work cross functionally with marketing, solutions engineering, legal, and customer success to ensure a cohesive customer experience across the region. - Represent NAMER mid market in global planning cycles, headcount discussions, and strategic initiatives. WHAT YOU HAVE - 10+ years of B2B tech sales experience, including 4+ years hiring, managing and developing sales managers or senior individual contributors. - Demonstrated success leading a regional or multi market sales organization in a high-growth, early stage environment. - Strong track record of selling complex software to enterprise or mid market clients using a consultative, value based methodology. - Experience building or scaling a sales playbook : segmentation, qualification frameworks (MEDDIC/MEDDPICC or equivalent), territory design, and deal-desk processes, in a fast growing SaaS environment. - Fluency with pipeline and forecasting rigor: accurate stage by stage forecasting, pipeline coverage ratios, and the discipline to hold managers accountable to them. - Exceptional communication and executive presence, able to influence both frontline teams and senior stakeholders internally and within our key customers - Genuine passion for Harvey's mission and a strong interest in how AI is transforming knowledge work and the legal profession. COMPENSATION $425,000 USD OTE 50/50 DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-BL1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco, California, United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . About the Team The Finance team, led by our Chief Financial Officer, is building the capabilities Turing needs as it scales toward the public markets: sourcing and closing deals, deploying strategic capital, and telling our story to investors with rigor. This role reports directly to the Chief Financial Officer and works closely with the CEO and board. The Role We are hiring a leader to own inorganic growth and capital markets strategy on the Finance team. You will own M&A end to end, build and run our strategic investment (ventures) activity, and stand up the investor relations and IPO-readiness function. This is a mandate to own a function, not just execute deals, with direct exposure to the CFO, CEO, and board. Why This Role Matters Turing is preparing for the public markets. Success in this role will directly shape how Turing grows through acquisitions and strategic investments, how it allocates capital, and how investors understand the business ahead of an IPO. You will build these functions from the ground up, creating the M&A playbook, ventures program, and investor narrative that Turing will rely on as a public company. What You Will Own Investor Relations & IPO Readiness. Build the IR function and narrative: positioning, metrics, and messaging for current and prospective investors. Support financing rounds, cap-table strategy, and board and shareholder communications. Lead IR programs across finance, legal, and operations, and prepare leadership and management for investor scrutiny. Mergers & Acquisitions. Own the full M&A lifecycle, including strategic investing: thesis and sourcing, valuation and modeling, diligence, negotiation, and close. M&A Playbook & Pipeline. Build and codify Turing’s M&A playbook and pipeline as a repeatable engine. Build-Buy-Partner Decisions. Partner with product, engineering, and GTM leaders on build-buy-partner decisions and post-close integration. Strategic Finance & Planning. Partner with the CFO and Strategic Finance on companywide planning, capital allocation, and 0-to-1 strategic initiatives. Translate market and competitive intelligence into recommendations for the executive team. Who You Are A deal leader ready to own a function. You have sourced, led, and closed multiple transactions, and you are ready to step up to owning a full function, including standing up IR and ventures from scratch. Grounded in banking, private equity, or growth investing. Your foundation is in investment banking, private equity, or growth-stage venture, applied in-house at high-growth technology companies. Rigorous on valuation and structure. You bring strong financial modeling, valuation, and deal-structuring judgment. Board-ready. You communicate with executives and the board clearly and credibly. Minimum Qualifications 10+ years across fundraising and M&A, with investment banking, private equity, or growth-stage venture foundations. A track record of sourcing and closing multiple M&A transactions at high-growth technology companies. Direct experience with corporate venture / strategic investing. Hands-on exposure to IR and IPO readiness, in-house or advising through an IPO process. Strong financial modeling, valuation, and deal-structuring judgment, paired with executive and board-level communication. Preferred Qualifications M&A experience at a company through pre-IPO hyper-growth. Experience in AI/ML, developer tools, data infrastructure, or marketplaces. Prior BizOps or strategic-finance seat at a company that scaled through IPO. Established network across the AI founder, VC, and banking ecosystems. Location & Work Model Full-time, hybrid role based in the San Francisco Bay Area. Compensation & Benefits The annual base salary range for this full-time position is $230,000-$310,000 USD. In addition to base salary, this role is eligible for variable compensation, equity and additional benefits. Individual compensation will be determined based on job-related skills, experience, qualifications, and other relevant business considerations. Application Process Please submit: Resume A brief note on a deal you sourced, led, or structured and the outcome it drove Our interview process typically includes: Introductory conversation Executive interviews Working session Reference checks Offer Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Brussels; Rome; Barcelona; Zug; Porto; Cape Town; Istanbul; Eindhoven; Geneva; Milan; Amsterdam; Manama; Madrid; London; Dubai; Berlin; Antwerp; Copenhagen; Vienna; Prague; Athens; Budapest; Paris; Frankfurt; Dublin; Warsaw; Sofia; Luxembourg; Remote; Zurich; Abu Dhabi; Lisbon; Tallinn; London OR Brussels; Seychelles; Rotterdam; Krakow; Johannesburg; Zagreb SENIOR DATA ENGINEER ABOUT KEYROCK Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation. Today, we partner with over 250 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from self-taught DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, and Singapore, and host regular online and offline hangouts to keep the crew tight. We are trading on more than 80 trading venues, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks. But we’re more than a service provider. We’re an initiator. We're pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives. At Keyrock, we're not just envisioning the future of digital assets. We're actively building it. ABOUT THE TEAM AND WHY THE ROLE EXISTS The Central Data Team (CDT) is only a few months old, but data has been Keyrock's lifeblood since day one. We're now building the Keyrock Data Platform to give Keyrockers, and the AI agents working alongside them, the data and context they need to act fast and autonomously within agreed boundaries and aligned with our shared goals. Doing that means taking data from across the company and making sense of it in real time for all the functions that depend on it: trading desks, wealth and asset management, product, risk, finance, compliance, and research to name a few. You'd be one of the early hires in CDT and we expect you to contribute to most of the bigger decisions and build work. The standards we settle on and the way the team ends up working are still open. WHAT YOU’LL DO - Build streaming and batch pipelines that ingest, normalise, and distribute market, trading, and portfolio data, resilient to feed and exchange failures. - Build the self-serve tooling (SDKs, patterns, templates, AI agents) so other teams publish, consume, and build on data products without waiting on us. - Own data contracts and schema evolution. Keep schema changes from turning into multi-team coordination events. - Design the lakehouse and time-series layer around consumer query patterns. - Build and evolve the Data Governance and Data Quality Framework: stale-feed detection, schema validation, range checks, idempotent writes, lineage, ownership, self-healing. - Build the derived analytics the business runs on: cross-exchange spreads, VWAP at depth, order book microstructure for the desks; portfolio views, exposure, performance for wealth and asset management. - Make observability, cost, and performance first-class from day one. - Treat infrastructure as code (Docker, Terraform, CI/CD) alongside our Central Infrastructure Team. - Work in the open: write things down, partner closely with Architecture, Infrastructure, Platform, and the rest of the teams. WHAT WE’RE LOOKING FOR Tools matter less to us than how you think about problems. That said, here's the shape of the person we have in mind. Engineering Craft - 8+ years of building production data systems that other people rely on. - Strong proficiency in Python and SQL: not just being able to write a query, but being able to reason about what the engine is doing with it. - Code that's easy for someone else to read, test, and delete later. - Strong understanding of data modelling for both streaming and analytical workloads. - Efficiency, quality, idempotency, and observability are taken seriously by default. Systems Design - You've designed and operated streaming systems on Kafka, Redpanda, MSK, or Kinesis, and you have opinions about partitioning, consumer groups, offsets, and schema registries. - You've used a time-series store in production (ClickHouse ideally; TimescaleDB, QuestDB, or similar are fine too) and can talk about table design as a function of query patterns. - You've worked with a lakehouse architecture and reason about table layout, partitioning, and compaction as design choices that shape query performance and storage cost. - You build for self-healing and idempotency. Reprocessing is safe, retries don't double-write, and the system recovers without a human in the loop. Operational Readiness - Docker, Terraform, and CI/CD are how you work, not a separate "DevOps" thing. - You think about cost and performance early. - You instrument as you build: logs, metrics, and traces are part of the system from day one. - You design for data quality and governance up front covering contracts, validation, lineage, and ownership How You Think and Work - You reason from first principles when a problem is new, stay pragmatic when it isn't, and update your view when you learn more. - You treat the trading desks, wealth and asset management, product, risk, finance, compliance, and research as customers of what you build, and communicate with them that way. - You optimise for outcomes over output. A smaller, simpler thing that ships and works beats a bigger thing that doesn't. - You take ownership end-to-end: design, ship, operate, improve. - You say what you think including when it's an unpopular take. You change your mind when the argument is better. - You make the people around you better. Reviews are real, juniors grow from working with you, and peers want to work with you again. - You're curious about how markets work. Data engineering on its own won't keep you interested here. - You're honest about what you know and what you don't, and quick to close the gap. - You understand financial market data: order books, trades, reference data, portfolios, exposures. Crypto, TradFi, or both are a strong plus. NICE TO HAVE - Lakehouse experience with Apache Iceberg or Delta Lake. - Familiarity with DataHub or similar metadata/lineage platforms. - Rust. Some of our performance-critical services are written in it. Interest is welcome; fluency isn't required. WHAT YOU’LL GET - A from-scratch mandate. You'll be among the first hires in CDT, and the platform, the standards, and the team culture are yours to shape with us. - Strong partners. Close working relationships with Architecture, Infrastructure, Platform, and the desks themselves. You won't be building data in a vacuum. - Autonomy on how you work. Flexible hours, remote-first, business-hours on-call shared across the team. - A competitive salary package, with various benefits. - A team that likes each other. Regular online get-togethers and a yearly onsite where everyone's in the same room. OUR RECRUITMENT PROCESS We’re after those with the right skills and a conscious choice to join our field. The perfect fit? Someone who’s driven, collaborative, acts with ownership and delivers solid, scalable outcomes. As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance. Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock

About Us: Wrapbook is the AI platform for production finance. We’re building a system of action that puts finance teams in control of their whole production, from payroll, to spend, to accounting. Built for feature films, TV, and commercials, Wrapbook is trusted by teams at Netflix, Paramount, Anonymous Content, and more. With backing from Andreessen Horowitz, Bessemer Venture Partners, and Jeffrey Katzenberg's WndrCo, our team of 350+ is using AI to transform how finance teams work and empower them to do more with less. The Opportunity: Senior Software Engineer II, Applied AI (Remote - USA / Canada) We are looking for a Senior Software Engineer II, Applied AI to join our Agentic Systems team, where you'll build AI agents that automate workflows for teams across Wrapbook. You'll partner directly with internal teams like Marketing, Sales, Support, Operations and Finance to find high-leverage processes, then design, ship and iterate on agents that take real work off their plates. This is a chance to define how a 400+ person company runs on AI. You'll see the impact of your work every day, while shaping the patterns, tools and standards for how we build agents at Wrapbook. What You’ll Do: — Design and build production-grade AI agents with LangGraph that automate multi-step workflows for internal teams across Wrapbook — Deploy, run and scale agents on Amazon Bedrock AgentCore, using its runtime, memory, identity and gateway capabilities to make them secure and reliable, while tracking what they cost to run and keeping it efficient as usage grows — Partner with internal teams to find high-impact workflows, draw out requirements from people who can't hand you a spec, and turn them into agent-driven solutions, explaining clearly what each agent can and can't reliably do — Integrate agents with Wrapbook's internal systems, APIs and third-party tools so they can take real actions, not just answer questions — Build evaluation, observability and guardrail frameworks to measure agent quality, catch failures and keep humans in the loop where it matters — Establish reusable patterns, shared tools and best practices that let the Agentic Systems team ship new agents quickly and consistently — Own agents end to end, from prototype to production, measuring their impact on the teams they serve and iterating based on usage data and feedback — Drive adoption through clear documentation, training and enablement, so teams understand what each agent does, trust it and know how to get the most from it What You’ll Have: — 6+ years of back-end development experience with Python, TypeScript/Node.js or Java, with a track record of delivering systems built for security, scalability, availability and performance — Hands-on experience building and shipping LLM-powered agents or workflows (with models such as Claude, GPT, Llama or Mistral), including prompting, tool use and structured outputs. — You can walk us through one you built: how it was designed, what broke and how you fixed it — Production experience with at least one agent or LLM framework, such as LangGraph, LangChain, LlamaIndex or AutoGen, and a solid understanding of AI architectures like RAG, reranking and multi-agent orchestration. — Experience with LangGraph specifically is a plus — A security-first mindset: you think about data access, permissions and failure modes in everything you build, especially when agents can take real actions — Strong product sense and communication skills, with the ability to work directly with non-technical teams to understand their workflows and turn them into reliable automation — Comfort with ambiguity and an ownership mentality: you can take a loosely defined problem from idea to production on your own — Nice to have: experience running AWS workloads in production and knowing how to design for, deploy on and get the most out of Amazon's services, ideally including Amazon Bedrock AgentCore Why Join Us: At Wrapbook, creativity meets technology — and not just in the product. In addition to a competitive salary and all the benefits you can expect from a fast-growing technology company, you’ll get access to a team of creative problem solvers and the chance to see your contributions make large impacts Benefits include: — Unlimited Paid Time Off — Work from anywhere in Canada and USA — Health and Dental benefits — Up to $1,500 USD/ $2,025 CAD towards IT set up for your home — Up to 2% matching RRSP / 401K — Learning and Development opportunities — Up to $50 USD/ $67.50 CAD towards Internet/Cell phone service Our Pledge to Fostering an Inclusive and Safe Workplace: Wrapbook pledges to be a harassment- and discrimination-free space for everyone, regardless of age, disability, ethnicity, gender identity or expression, nationality, neurotype, personal appearance, political affiliation, professional background, race, religion, or sexual identity or orientation. Apply Now Have we got your attention? Submit your application today and a member of our Talent team will be in touch with you shortly!

Location: Redwood Shores 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. As a Regional Sales Manager, you will own the full sales cycle for new and expansion opportunities across commercial and mid-market accounts. You will establish MinIO’s value proposition, and close deals contributing to our overall success. You’ll need to thrive in a fast-paced, agile setting and work cross-functionally to help us expand from a product-led sales approach to include a sales-driven growth strategy. This role requires comfort in a fast-paced, agile environment and close cross-functional collaboration as we evolve from a primarily product-led motion to a hybrid model that includes sales-driven growth. What You Will Do New Business Development: Prospect, qualify, and close new business across commercial and mid-market accounts. Drive opportunities from first meeting through technical validation, pricing, and close Expand and Retain Accounts: Manage relationships with strategic customers, identifying opportunities to cross-sell, upsell, and deliver measurable value. Articulate Value: Become an expert in communicating MinIO’s benefits to technical and business stakeholders, focusing on business impact and customer success. Collaborate Cross-Functionally: Partner with internal teams, including product, marketing, and customer success, to deliver seamless customer experiences. Pipeline and Forecast Management: Build and manage a healthy pipeline with disciplined forecasting and deal hygiene Use MEDDPICC (or similar) to qualify deals and drive predictable outcomes Maintain accurate pipeline, forecasting, and activity tracking in Salesforce Collaborate cross-functionally with Field Architects, Marketing, Customer Success, and Product Your Skills and Experience Proven Sales Track Record: 3+ years of experience in B2B SaaS or infrastructure sales experience sales with consistent quota achievement and expertise in managing complex, high-value sales cycles. New Business Acumen: Strong background in sourcing and closing new customers, particularly in enterprise or mid-market segments. Account Growth Expertise: Demonstrated ability to expand and retain accounts through cross-sell, upsell, and delivering measurable customer value. Technical Domain Knowledge: Familiarity with cloud-native technologies, data infrastructure, or B2B SaaS. Experience engaging with technical buyers, including VPs of Infrastructure, Engineering, and Enterprise Architects. Startup Mindset: Thrives in fast-paced environments, with experience at early or growth-stage companies. Challenger Sales Approach: Skilled at challenging the status quo, demonstrating clear business value, and driving competitive wins. Communication & Negotiation: Excellent verbal and written communication skills, with the ability to influence decision-makers and navigate complex negotiations. Team Collaboration: Proven ability to work across functions, leveraging internal resources to achieve customer success. Experience managing deal sizes ranging from $50k to $300k+. Expertise in pipeline generation tools (e.g., SalesLoft, Outreach) and social selling (e.g.,LinkedIn Navigator). Familiarity with Force Management, MEDDPIC or other sales methodologies. What We Offer: Health Care Plan (Medical, Dental & Vision) 401K with 3% Contribution Pre-IPO Stock Options At least 12 Public Holidays Flexible Time Off 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.