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Location: San Francisco, CA; Remote (US); New York, NY (HQ) Workplace: Remote ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE - As an Account Executive | SLED at Ramp, you are a proven hunter & sales closer with track record of quota attainment and overachievement. We believe strongly in our value proposition of aligning incentives with our customers and you will bring it to life through the sales process with C-Level executives and key decision makers. As an early member of the team, you will also have the opportunity to help build the sales engine and define the sales strategy that fuels the growth of the company! This is a highly impactful individual contributor role. - You’ll combine your knowledge of higher education and state and local government procurement with a deep understanding of Ramp’s value proposition to grow Ramp’s presence and product usage within the SLED space. WHAT YOU’LL DO - Drive revenue for Ramp, owning the entire sales cycle through close - Develop strategies for closing opportunities within your assigned territory - Develop winning sales strategies that focus on compelling value propositions. - Liaise with, influence, and indirectly lead cross-functional partners to align on strategy and execution - Leverage sales methodologies to uncover prospect needs and pain points - Own sales activity and monthly revenue forecasting in Salesforce and Gong - Collaborate with product, design, and engineering teams to incorporate customer feedback - Routinely represent Ramp at industry conferences nationally and regionally WHAT YOU NEED - 5+ years of quota-carrying sales experience, with a consistent record of exceeding goals - Proven experience in sales with a track record of closing deals within the SLED space - Strategic thinker with a systems mindset; able to synthesize market insights, assess competition, and design scalable strategies for new verticals - Experience in a fast-paced SaaS or GTM environment is a plus - Strong data-driven decision-making skills and ability to create scalable sales systems - Excellent communication, presentation, and influencing skills; capable of articulating technical, contractual, and financial value to senior stakeholders - Proven ability to collaborate with cross-functional teams and drive process improvements - High-energy, service-oriented leader with a strong work ethic and problem-solving mindset BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Bengaluru, India We are seeking a highly experienced QE Domain Lead with a strong background in QA leadership and demonstrated success progressing from a QE Lead role into a QE Manager role. This client facing position requires a holistic and business oriented approach to QA, strong stakeholder management across delivery, product, and engineering, and a practical mindset for embedding AI assisted testing practices into day to day quality engineering. You will be the primary QE contact for an assigned domain, collaborating closely with the client's QE Director and Senior QE Manager, and owning release readiness and quality sign off across all domain releases. The role carries a dual scope, domain level coordination layered on top of team lead responsibilities, managed through deliberate delegation. This role offers direct influence over quality outcomes across a technology domain, a close partnership with senior client leadership, and the opportunity to shape how AI assisted testing practices are adopted at scale. This position is intended for Hyderabad based candidates who are available to work from the office. Our client, a globally recognized leader in investment management education and certification, operates a scaled Quality Engineering function across multiple technology domains. With an AI native testing platform, automation first practices, and a structured weekly release cadence, the client is embedding quality as a continuous practice, not a final checkpoint. The QE Domain Lead sits at the center of this model, connecting project level execution to organizational quality strategy and ensuring that status, risks, and resource needs are visible before they become issues. Serve as the primary QE contact for the domain across delivery, product, and engineering. Own release readiness and quality sign-off for all domain releases, including coordinating multi-team verification across staging and production environments. Coordinate with QE Leads and Senior QEs to stay aligned on active work, risks, and dependencies. Ensure adequate QE coverage and skill sets across projects in the domain. Define risk-based testing approaches and quality gates across multiple concurrent domain projects. Own domain-level quality metrics and drive improvement when targets are not met. Provide regular domain status reporting and represent the domain in QE leadership forums. Estimate QE capacity needs for new projects and initiatives in the domain. Coordinate cross-domain impact assessments when work spans multiple domains. Proactively identify and escalate resource gaps, timeline risks, and quality issues. Represent QE in delivery and product forums within the domain. Collaborate with the domain delivery lead to ensure QE and delivery remain aligned. Drive active adoption of AI-assisted testing tools and practices within the domain team. Mentor QE Leads and Senior QEs, building team capability through deliberate delegation. Proven career progression from QE Lead to QE Manager. Extensive experience in enterprise environments with complex, cross-team delivery structures. Experience engaging delivery, product, and engineering stakeholders in a business context. Excellent communication skills, capable of translating technical topics into business language. Solid understanding of modern QA practices, automation, and AI trends in testing. Working knowledge of Playwright and TypeScript, sufficient to assess automation coverage quality, evaluate automation health, and support informed resourcing decisions. Experience working within CI/CD delivery pipelines, applying Agile practices (Scrum, SAFe, or equivalent), and defining risk-based testing approaches across concurrent projects. Proven experience owning quality metrics, status reporting, and improvement planning across multiple teams. Experience coordinating QE delivery across multiple vendor or supplier teams within a single domain or program. Proven ability to mentor and develop QA engineers and build a culture of quality ownership. Familiarity with test case management and quality reporting platforms such as TestRail, LambdaTest, or equivalent. Familiarity with large enterprise systems such as ERP, e commerce, and cloud platforms. Experience with AI assisted testing tools in a QE context.

Location: Remote, Worldwide Workplace: remote About Distru Distru is the #1 ERP in the cannabis industry with $15B in sales processed through our platform. We've built a battle-tested ERP and B2B eCommerce platform that powers inventory, manufacturing, sales, and logistics, and we're now building AI infrastructure on top of it to give commercial businesses their all-in-one AI stack. We're growing and profitable, with 5/5 stars on Glassdoor. Our investors include Felicis Ventures, Global Founders Capital, Poseidon Asset Management, and Village Global, who have funded companies such as Shopify, Cruise, HelloFresh, Facebook, Slack, and Opendoor. Get to know the team, our culture and our full benefits at distru.com/careers! The Role AI has hit an inflection point in model capability for enterprise work, and AI assistants like Claude, Codex, and Grok are seeing record adoption in the workplace. We believe the system of record has never been more valuable, because it's where the data AI acts on gets consolidated and organized. So we're building Distru headless-first: unified access to ERP data, deep MCP and embedded AI assistant integrations, agents embedded in Distru, and a seamless experience between the ERP and the AI tools our customers already use. The AI space moves fast and the specifics will change, so this vision is something you'll mold. As our first VP of Product, you'll own: Product direction: strategy across Distru ERP, Distru Commerce, Order Agent, Distru Analytics, and our AI product suite, with accountability to revenue & growth AI product suite: the foundations that make Distru an all-in-one AI stack, including the unified data layer, agent builder, workflow builder, MCP, and the headless experience AI vision and evangelism: keeping Distru ahead of the curve on AI, finding where it creates product-market fit and new market opportunities, and championing that vision with the team, customers, and the market Product org: growing the product team from 4 to 8+, structured to serve existing ERP and Commerce customers while building new AI-first product lines Product timeline: the company's source of truth for what's shipping and when AI-first product process: how the team plans, specs, designs, and ships with AI And more… You'll report to the CEO and work closely with the VP of Engineering, Head of Sales, Head of Go-to-Market, and the product team. You'll have a long-tenured team of craftspeople around the existing product, and a fast-moving AI team experimenting at the frontier. There's a lot of autonomy and room to bring new methods, and we welcome wild AI-forward ideas. What you'll do Product strategy Deliver a quarterly strategy review to the exec team: market landscape, ERP and AI sequencing, a 1-year roadmap, metrics, and resourcing asks Own the product timeline and keep the company and technical teams aligned on it Shape our data infrastructure (StarRocks, BigQuery, Postgres) with engineering so it serves internal and external AI use cases AI vision and evangelism Track new models, AI tools, and competitor moves, and turn them into a point of view on where Distru should play next Find product-market fit for our AI products and size the new markets AI opens up, testing bets with customers before we commit the roadmap Evangelize our AI vision inside and outside the company: rally the team, equip GTM with the story, and show customers and the industry what an AI-first ERP can do Team leadership Own the product hiring pipeline, set the hiring bar, and find creative ways to bring in top talent Manage and coach the product team, including hard feedback, performance plans, and exits when needed Set PRD standards, review PRDs, designs, and mockups, and lead the team's adoption of AI-first product processes Cross-functional leadership Set the operating cadence with engineering: planning, roadmap reviews, and a clear split where product owns the what and engineering owns the how Work with GTM on launches, feature enablement, and AI-forward content, and make sure our MCP and API docs and knowledge base are high quality Run the feedback loop from customers, CS, and Sales, build relationships with key customers, and track feature adoption in a way the whole company can see What success looks like at 6 months You've run your first quarterly strategy review, and the exec team has signed off on a 1-year roadmap tied to revenue targets You've made your first product hires, at a hiring bar you've set and written down You've shipped a core piece of the headless AI suite, and its adoption and revenue impact are tracked in a dashboard the whole company uses What we look for AI fluency For every AI role, we look for three things: Tool fluency: you personally build with AI tools. You go beyond prompting and have built your own skills, agents, workflows, or prototypes. Process fluency: you've set AI-first processes for a product team, and you have a point of view on how to evaluate AI fluency when hiring a PM. Build fluency: you know how to evaluate an AI workflow in production, with evals, observability, and feedback loops that make agents better over time. You use AI tools daily and can tell us specifically where your fluency is strong and where you're still building it. Must have 10+ years in product management, including 4+ leading product teams Product leadership: you've built and run a product org, including hiring, coaching, and making hard people calls, and you've led a product into new markets or major new product directions AI products in production: you've built and shipped AI product lines such as MCPs, Agent Builders, Workflows, Copilots, etc… that are used in production Technical depth: you know the modern SaaS and AI stack, including infrastructure, data, AI models, and full-stack development, and the production concerns that come with it: reliability, observability, permissions, and durable workflow execution Outcome orientation: you measure the impact of product decisions by their revenue impact Hands-on: you still do the work: PRDs, tools, details. You can sit with engineers without translating through a layer Strong signal Experience in ERP, accounting, cannabis, or supply chain software You've taken an AI product from zero to revenue You've led product at a B2B SaaS company at a similar stage You've been a founder How we work We love building with AI. Trying new models the week they drop, building agents for fun, and forming strong opinions on what works. We invest in it with company-wide AI growth with classes and workshops, AI demo days, AI hackathons, and access to best-in-class models and tools. Product owns outcomes, not output. You measure product by adoption and revenue, and you hold the team to the same bar. Taste and conviction beat consensus. You make opinionated calls on what we build, and you grow that taste across the product team. Product owns the what, engineering owns the how. You hold a high technical bar without doing engineering's job. You'll build on what we've learned. You'll have access to the team's combined AI knowledge and the processes and skills we've built. For the full picture of our culture and who thrives here, see distru.com/careers . Benefits Our careers page is the best way to get to know us: the full benefits, our yearly offsites, who thrives here, and what the team says about working at Distru. Here are a few highlights (exact benefits vary by country and employment type): Fully remote across 4 continents Employee-friendly option terms: after 2 years, a 10-year window to exercise if you leave 18 days PTO + 11 holidays (sick days don't count toward PTO) Medical, dental, vision + 401(k) for US employees The best AI tools available and a generous AI stipend for everything else Yearly in-person team offsites Interview process Application questions: three short questions on something you've built with AI, an AI capability you've shipped, and the product teams you've led Leadership interview (60 min): your background, how you lead, hire, and manage product teams, and a briefing on the role AI product-market fit (60 min): your view of AI product-market fit for Distru, plus a show and tell of products and mockups you've built Co-building session (90 min): build a working prototype of a feature live with AI, alongside our design and product team Technical leadership (60 min): how you work with engineering, what makes an MCP and headless suite defensible, and how product improves agents over time Take-home: Headless AI Product Suite (4–8 hours, then a 60 min presentation): define Distru's headless AI product suite and present it live Meet the team (four 45 min calls): calls with both co-founders, a reverse AMA with GTM, and an AMA with the product team References and offer Distru was formed by an environment of mutual respect and trust made up by people working together without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by law. We believe that diversity and inclusion among our team members is critical to our success and we proactively strive to recruit, develop and retain the best and brightest people from the most diverse candidate pools we can find all over the world. Where you land in the range depends on your experience and skills. The role also includes equity.

Задачи: — Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants. — Develop recommendation, ranking, classification, and predictive ML models. — Own end-to-end ML pipelines from data processing and training to deployment and monitoring. — Build MLOps / GenAIOps workflows, CI/CD, GPU inference, and cloud-native AI infrastructure. — Work with Product and Engineering to measure business impact through KPIs and experiments. — Improve AI system scalability, reliability, cost, governance, and performance. Требования: — 4–5+ years in AI, ML, or Data Science. — Strong Python, SQL, and production ML experience. — Hands-on experience with LLMs, Transformers, embeddings, RAG, and prompt engineering. — Experience with PyTorch/TensorFlow, Hugging Face, LangChain/LlamaIndex. — Strong knowledge of Docker, Kubernetes, MLflow/W&B, CI/CD, AWS, and Terraform. — Experience with Kafka, ETL pipelines, vector databases, and search systems. — Ability to independently take AI projects from idea to production. Плюсом будет: — Experience with A/B testing, responsible AI, recommendation systems, regulated environments, or team leadership. — Candidate should be able to work on US time schedule. — Good English conversation skill is much much preferred.

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. About the role We are looking for an AI Product & Transformation Lead to build the next generation of AI-enabled ways of working across Legal and Enterprise Risk. Please, note experience within Legal or Risk would be useful, but it is not essential. We are particularly interested in people who combine strong AI product, technical, operational or design instincts with enough domain empathy to build trusted solutions. This is a hands-on AI role for someone who enjoys turning emerging technology into products and capabilities that people genuinely use. You will lead discovery with lawyers, risk professionals, legal operations and business stakeholders, identify high-value opportunities, and turn them into practical AI solutions. You will not be working only at the level of strategy. You will build and ship AI products, agents, automations, workflows and playbooks; test what works with end users; learn quickly; and create the conditions for other people across Legal and Enterprise Risk to build as well. You will be embedded in the Legal and Enterprise Risk organisation and partner closely with Compliance, Technology, Data, Information Security and other enabling functions to scale AI capabilities safely across the business. What you will do Build and scale AI products: - Lead structured discovery with Legal and Enterprise Risk teams to identify high-value AI opportunities, recurring friction, manual work and decision bottlenecks. - Turn real user problems into clear use cases, lightweight prototypes and scalable solutions. - Build, configure or product-manage AI-enabled tools, agents, workflow automations, self-service experiences and knowledge systems. - Take solutions from idea to pilot to adoption, including testing, iteration, documentation and handover. - Balance speed and experimentation with appropriate controls for confidentiality, privilege, data protection, security and legal risk. Help others build products: - Make practical AI-building skills accessible to lawyers, risk professionals and Legal Operations colleagues through hands-on sessions, guides and coaching. - Establish an AI builder community or similar forum for sharing use cases, prompts, prototypes, lessons and reusable components across Legal and Enterprise Risk. Apply AI to improve how work gets done: - Map and redesign workflows across Legal and Enterprise Risk, using AI to improve speed, quality, consistency and capacity. - Create repeatable processes, templates, playbooks and operating rhythms that reduce unnecessary manual effort. - Design better ways to capture, organise, retrieve and reuse organisational knowledge through AI-enabled search, summarisation and assistance. - Identify opportunities to improve intake, triage, matter management, contract workflows, reporting and business self-service. - Establish simple measures of impact, such as time saved, cycle-time reduction, quality improvements, user satisfaction and adoption. Build alignment and momentum - Own a prioritised AI product and use-case pipeline based on user need, value, feasibility, adoption potential and risk. - Bring stakeholders together around clear problems and decisions rather than abstract technology discussions. - Communicate progress, learnings and trade-offs in a way that works for both technical and non-technical audiences. - Build strong relationships with Technology, Data, Information Security, Procurement and other partners needed to deliver safely at scale. - Help Legal and Enterprise Risk leadership make informed choices about AI tools, investment, capability, governance and ways of working. What we are looking for: - Experience building AI products, automation, digital capabilities or technology-enabled ways of working in a complex organisation. - A track record of taking ambiguous problems from discovery through to a practical outcome that people actually use. - Deep practical experience with generative AI, AI agents, workflow automation, knowledge management, no-code or low-code tools, or similar technologies. - Strong user-centred instincts: you listen carefully, understand how work is really done and design for adoption rather than theoretical capability. - Strong judgement about confidentiality, privilege, data protection, security, accuracy and responsible use of AI. - A coaching mindset and the ability to help others become more confident and capable builders. - Curiosity, pragmatism and a bias towards learning by doing. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Remote Haut.AI http://Haut.AI is a pioneering BeautyTech startup at the forefront of personalized skincare solutions. We combine scientific research with artificial intelligence to deliver innovative solutions that actually work. Backed by leading European VCs and founded by AI scientists, we are positioned at the intersection of two explosive growth markets: AI and beauty tech. We’re looking for a Senior Product Designer to own the experience of our core product: an AI-powered skin analysis SaaS platform used by beauty brands, retailers, clinics, and wellness and longevity apps. What You'll Do: - Own end-to-end design for the SaaS platform: discovery, user flows, prototypes and shipped UI. - Design the consumer-facing skin analysis experience: capture, results, skin scores and product recommendations. It has to work across web and mobile, and stay customizable for each client’s brand. - Turn complex AI and scientific output into interfaces people understand and trust. This includes the moments where the AI is uncertain or needs better input from the user, such as photo quality or lighting. - Design the B2B side of the product: client dashboards and analytics, configuration and customization tools, recommendation management, and team access. - Make integration easy: work with Engineering on the experience of embedding our solution into client websites and apps. - Prototype fast, using AI tools to test ideas with users, clients and engineers before they reach the backlog. - Run usability tests and competitive research, and back design decisions with data: product analytics, session recordings, client feedback. - Evolve and maintain our design system so the team ships consistently across products and platforms. What Will Help You Thrive in This Role: - 5+ years of hands-on product design experience, with a portfolio of end-to-end work that shipped on web and/or mobile. - Experience designing B2B or B2B2C SaaS products, including complex dashboards, admin tools or configurable, white-label experiences. - Experience designing AI-powered products, such as AI analysis, recommendation or personalization experiences. - Strong command of AI tools in your own work. You use LLMs and AI design or prototyping tools (e.g. Figma AI, v0, Lovable, Cursor, Claude) to research, explore options, prototype and automate routine work, and you can show us what that changed in your output. - Product thinking: you define success metrics with the PM, measure the impact of your work, and iterate based on it. - Strong written and spoken English: you present your work clearly to both internal teams and clients. - Highly autonomous and proactive, with a strong bias for action in fast-paced startup environments. Why Join Haut.AI http://Haut.AI? - Be part of a pioneering company revolutionizing the BeautyTech space. - Work at the intersection of cutting-edge AI and user-centered design in beauty, with a talented, forward-thinking team. - Make a tangible impact on product development and company growth. - Competitive compensation based on experience and skills. - Fully remote, with flexibility across UK and EU time zones. - Paid PTO. - Company-issued MacBook and other equipment. To Apply: Please send your CV and portfolio in English.

Задачи: — Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants. — Develop recommendation, ranking, classification, and predictive ML models. — Own end-to-end ML pipelines from data processing and training to deployment and monitoring. — Build MLOps / GenAIOps workflows, CI/CD, GPU inference, and cloud-native AI infrastructure. — Work with Product and Engineering to measure business impact through KPIs and experiments. — Improve AI system scalability, reliability, cost, governance, and performance. Требования: — 4–5+ years in AI, ML, or Data Science. — Strong Python, SQL, and production ML experience. — Hands-on experience with LLMs, Transformers, embeddings, RAG, and prompt engineering. — Experience with PyTorch/TensorFlow, Hugging Face, LangChain/LlamaIndex. — Strong knowledge of Docker, Kubernetes, MLflow/W&B, CI/CD, AWS, and Terraform. — Experience with Kafka, ETL pipelines, vector databases, and search systems. — Ability to independently take AI projects from idea to production. Плюсы: — Experience with A/B testing, responsible AI, recommendation systems, regulated environments, or team leadership. — Candidate should be able to work on US time schedule. — Good English conversation skill is much much preferred.

Location: New York, NY (HQ) Workplace: OnSite ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE As the Business Lead, you will be commercially responsible for the success of a new product at Ramp. The mandate is to do whatever it takes to grow the business. You will be expected to identify and resolve internal and external bottlenecks, often with limited guidance and support. You will set the strategy, prove out new bets, and influence how hundreds of go‑to‑market teammates sell and support the product. It’s an opportunity to run a “business within the business” at a meaningful scale while working directly with Ramp’s senior leadership. WHAT YOU'LL DO - Set the strategy: Define the target customer, value proposition, pricing, packaging, and GTM approach. - Own the plan and results: Set goals, measure progress, and take action when the things are off track. - Drive cross-functional execution: Align stakeholders from different teams around clear priorities and goals. - Own feedback loops: Work with customers and turn feedback into product and go-to-market changes. - Build for scale: Identify resource needs, create repeatable processes, and transition mature work to the appropriate long-term teams. WHAT YOU NEED - 5–10+ years in highly analytical, business‑driving roles - A self-starter who will run through walls to get things done - Exceptional analytical skills and command of data - A systems thinker who understands how to build things that scale - Strong communication skills and a team player BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Espoo Workplace: Hybrid ROLE HIGHLIGHTS - Engineering Supply Chain Manager (Electronics) - Location: Espoo, Finland - Department: Global Supply Chain - Reports to: Engineering Operations Manager - Employment type: Permanent - Workplace model: Office/On-site - Employment is subject to applicable security screening (incl. SUPO, where required)     THE MISSION OF THE ENGINEERING SUPPLY CHAIN MANAGER (ELECTRONICS) As our Engineering Supply Chain Manager (Electronics), you'll join our fast-moving Global Supply Chain organization and work closely with our hardware engineering teams as they design and build electronic systems on tight and shifting timelines. You'll be an active part of our engineering projects, helping to execute them and staying ahead of supply. That means identifying long lead items and critical components as early as possible in the process, and securing them before they become bottlenecks for testing and builds. When lead times, allocation or a late design change threaten a prototype schedule, we need you to act. Our development cycles are fast and iterations are constantly occurring since we thrive on pushing the technology for the best. You'll also be a key link between Engineering and Production. You'll communicate R&D supply chain risks and the critical components you've identified to Production, so nothing comes as a surprise at handover. Your work supports the success of every engineering prototype iteration and at the same time prepares Production for rollout and mass production. This role suits someone who is proactive by nature, with a solution driven mindset and a deep understanding of electronics, PCB manufacturing and hardware prototyping, who is comfortable with ambiguity and acts before problems arrive rather than waiting for them. How quickly we get from concept to working hardware in orbit, and then into production, depends on how well this role is done. 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.     YOUR DAY-TO-DAY RESPONSIBILITIES HIGH-VELOCITY ENGINEERING SUPPORT - Serve as the hands-on supply chain counterpart for fast-paced electronics engineering teams working on multiple, rapidly evolving hardware projects. - Be an active member of engineering project teams from kick-off, helping to execute the project plan and reviewing draft BOMs while the design can still be changed. - Identify long lead items and critical components as early as possible, and secure them proactively (early orders, allocation, buffer stock) before they can delay a project. - Translate early-stage concepts, evolving BOMs, and mid-design changes into actionable sourcing steps with minimal delay. - Advise engineers, in real time and in early design reviews, on how component choices affect availability, alternates, obsolescence, cost and lead time. - Identify supply issues before they become blockers and propose workaround paths immediately. RAPID SOURCING & PROCUREMENT EXECUTION - Own sourcing and procurement of electronic components, PCB fabrication, PCBA assembly, connectors, harness, sensors, RF parts, embedded modules. - Run fast quoting and supplier selection so prototype and builds get their boards and parts on the dates engineering committed to. - Lead efforts to find alternative components or new supply paths within hours, not weeks, when shortages occur. - Set stock levels and material availability plans for development and prototype builds. SUPPLIER INTERACTION & TECHNICAL ENGAGEMENT - Own relationships with PCB fabricators, electronics manufacturing partners and component distributors, and work with them to understand lead time constraints, manufacturing capabilities, DFM implications and fast-track build options. - Support technical capability assessments of PCB/PCBA vendors, machining partners, and component distributors. - Negotiate priority build slots, allocation and expedited shipments, and secure prototypes under compressed timelines. CROSS-FUNCTIONAL START-UP COLLABORATION - Coordinate across engineering, manufacturing, program management, and operations to remove obstacles and maintain build readiness. - Maintain complete visibility into prototype schedules, engineering changes, and material risks, communicating clearly and frequently. - Operate with a bias for action: if something is unclear, you chase it; if something breaks, you fix it; if something is missing, you find it. AGILITY, RISK MANAGEMENT & CONTINUOUS IMPROVEMENT - Build and maintain a living view of supply risks across all active prjects, including obsolescence, allocation, single-source parts, counterfeit risk and export restrictions and qualify alternatives early. - Keep purchasing accurate in the ERP system, with clean traceability, cost visibility and build readiness status that the organisation can rely on, even under fast-moving conditions. - Bring an experimentation mindset: test new suppliers, new sourcing channels, new manufacturing partners, and new tools to reduce lead times and cost. R&D TO PRODUCTION READINESS - Communicate R&D supply chain risks and identified critical components to Production early and clearly, so they are known well before handover. - Support the success and rapid iteration of engineering prototypes while preparing Production for rollout and mass production. - Make sure critical and long lead parts, qualified suppliers and realistic lead times and capacity are in place before a design moves into series production. - Help build the sourcing foundations that will carry a design from prototype into repeatable production. WHAT WE’RE LOOKING FOR MUST HAVES: - Bachelor’s degree in Electrical/Electronic Engineering, Mechatronics, Supply Chain, or similar. - 5+ years of direct experience in electronics sourcing, component procurement or engineering supply chain roles in fast-moving hardware environments. - Strong technical understanding of semiconductors, passive components, PCB fabrication, PCBA assembly, embedded electronics, and prototyping flows. - Demonstrated ability to work effectively in startup-like conditions, tight deadlines, shifting priorities, and rapid cycles. - Hands-on experience interpreting electronic schematics, BOMs, AVL requirements, PCB stackups, and manufacturing documentation. - Demonstrated ability to work effectively in startup-like conditions: tight deadlines, shifting priorities, incomplete information, and rapid cycles. - Hands-on experience running purchasing and material management through an ERP system. - Confident negotiator, commercially and technically, able to influence engineers, program managers and suppliers without formal authority. - Professional English, written and spoken. NICE TO HAVES: - Engineering Electronics Background, knowledge of the tools and technical understanding/background of designs. - Experience in space, aerospace, defence, hardware startups or other deep-tech R&D environments. - Exposure to taking a hardware design from prototype into series production. - Existing relationships with PCB/PCBA vendors, distributors and electronics manufacturing partners. - Certifications (APICS, PMP, Six Sigma) useful but not required. - Familiarity with rapid-prototyping suppliers, global component marketplaces, and digital sourcing tools. APPLICATION PROCESS - Talent Acquisition Interview - Hiring Manager interview - Task Stage - Task-based interview - Final Interview 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 Attraction will confirm what applies for this role and location during the process. Base salary range for this position is dependent on experience, and will be negotiated individually. 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 http://iceye.com.

Location: Latvia; Serbia; Poland; Georgia; Remote - Slovakia; Remote — Romania; Europe; Lithuania; Ukraine; Estonia; Limassol; Slovenia Workplace: Remote REMOTE | EUROPE (CET/EET ±2H) | B2B CONTRACT | REPORTS TO THE CEO About the company Our client is an established, profitable fintech operating at the intersection of crypto and traditional payments. It runs a consumer on/off-ramp platform and a fast-growing B2B infrastructure business: APIs and white-label solutions that let exchanges, neobanks, PSPs, wallets and other platforms embed regulated crypto and fiat services. The company is authorised under MiCA and PSD2 in the EU and is actively expanding its licence footprint, including e-money authorisations in Europe and the UK. The culture is owner-led, high-ownership and low-bureaucracy: decisions are made quickly and close to the founders. About the role This is a senior, hands-on leadership role. You will be the company’s Head of Risk, a member of the leadership team reporting directly to the CEO. The function starts as a one-person department and may grow as it matures. A foundation already exists: a risk register, risk appetite statement, DORA vendor risk work, and governance drafts. Your mission is to turn it into a proactive, decision-oriented risk function. That means bringing risk to leadership before it becomes a problem, and being a fast, credible partner to the commercial and product teams rather than a bottleneck. What you will own - Enterprise risk framework: risk taxonomy, risk appetite and tolerances, risk register, escalation policy and the three-lines-of-defence model. - Risk reporting: regular risk dashboards for the CEO and leadership, board/committee reporting, and risk-related regulatory reporting. - DORA: ICT risk management, incident classification and reporting, third-party ICT risk and the Register of Information, with a hard regulatory deadline ahead. - Licensing: operational risk, capital adequacy, liquidity and safeguarding frameworks for new e-money authorisations in parallel jurisdictions. - B2B partner and counterparty risk: onboarding risk scoring, risk-tiered monitoring, risk sign-off on material partnerships, and concentration risk. - Financial and market risk, jointly with Finance: crypto price exposure, settlement and liquidity risk, counterparty exposure to liquidity providers and banking partners, and capital adequacy monitoring. - Operational resilience: business continuity, disaster recovery, vendor risk and major incident reporting. - Fraud risk appetite: acceptable loss rates by channel, product and geography, unified across the teams that currently share it. - Product risk: risk assessment and launch gating for new products and markets, involved early rather than at the finish line. - Risk governance and culture: running the risk committee and building risk ownership across business units. What we are looking for - 8-10+ years in financial services or fintech risk, including at least 3–4 years at a senior risk leadership level (Head of Risk, VP Risk, or equivalent). A CRO title is not required, but ownership at that level is. - Direct experience in a regulated fintech, payment institution, EMI, PSP, or crypto business. Comfort with pace and lean structures is essential. - Hands-on experience with at least one of: DORA ICT risk, MiCA (CASP) risk requirements, or PSD2 payment institution operational and security risk. UK FCA operational resilience experience is a strong equivalent. - A clear track record of owning risk outcomes, not only advising on them. - The ability to give a clear risk position and recommendation under incomplete information, and to hold that position under pressure from senior stakeholders. - The ability to communicate risk in business language, in terms of impact, cost and options. - Fluent professional English and Russian language. Nice to have - Previous Head of Risk / CRO role at a regulated fintech, EMI, PSP or crypto company. - Experience building a risk function from scratch in a scaling business. - Experience with crypto custody risk, MiCA capital requirements, or Travel Rule implementation. - Third-party / vendor risk management at scale, especially in B2B or embedded-finance models. - Experience chairing a risk committee or reporting to a board. - FRM, PRM, or a comparable qualification. What’s on offer - A seat on the leadership team and direct access to the founders. - Real ownership: you shape the risk function and its role in the business. - A remote-first setup, with periodic in-person time at the European HQ. - Long-term B2B contract with performance- and OKR-linked bonus. - 20 paid working days off per year, paid sick leave, health insurance, a professional development budget, and team events.

Требования: — Коммерческий опыт Java + Spring Boot и Python + FastAPI. — Опыт разработки REST API. — Практический опыт с LLM-приложениями: RAG, embeddings, поиск, контекст, интеграция моделей. — Понимание MCP и опыт интеграции инструментов/сервисов в AI-сценарии. — PostgreSQL. — Важно: нужен не просто опыт вызова API модели или учебный проект, а практический опыт проектирования и разработки AI/LLM-сервисов. — Будет плюсом: LangChain, Pydantic. — Семантический или гибридный поиск. — MCP-сервисы / агентные LLM-системы, оценка качества ответов LLM. — Работа с DOCX, PDF, Excel / OOXML / Apache POI. — Опыт с корпоративными или локально развернутыми LLM. — Подойдет инженер, который одинаково уверенно чувствует себя в Java/Spring Boot и Python/FastAPI, а AI/LLM-задачи делал руками, не только на уровне экспериментов.

Ищем Senior GenAI-разработчика на проект крупной компании из сферы добывающей промышленности. Основная задача - разработка и внедрение корпоративных GenAI-решений: AI-агентов, мультиагентных систем, RAG-конвейеров и автоматизаций в закрытом защищённом контуре. Задачи: — Разработка AI-агентов и субагентов с использованием tool-calling — Построение мультиагентных систем и управление цепочками вызовов — Создание автоматизаций и workflow в n8n, Flowise, Dify, Langflow или аналогичных платформах — Разработка бизнес-логики и кастомных функций на JavaScript, TypeScript и Python — Построение RAG-конвейеров: подготовка данных, embeddings, поиск и работа с векторными базами — Интеграция с внутренними сервисами и витринами данных через REST API и OAuth2 — Парсинг, сбор, нормализация и трансформация данных из внешних источников — Проектирование промптов для суммаризации и генерации структурированных отчётов — Развёртывание и эксплуатация open-source и on-prem LLM в закрытом корпоративном контуре — Работа со структурированными данными, PostgreSQL и JSON — Участие в анализе и формализации бизнес-требований Требования: — Опыт коммерческой разработки GenAI-решений на уровне Senior — Уверенное владение JavaScript, TypeScript и Python — Практический опыт создания AI-агентов и мультиагентных систем — Опыт хотя бы с одним из стеков: LangChain / LangGraph, LlamaIndex, Semantic Kernel, CrewAI / AutoGen, n8n / Flowise / Dify / Langflow — Опыт разработки RAG-решений и работы с векторными хранилищами: PGVector, Qdrant, Milvus или аналогами — Уверенная работа с PostgreSQL, JSON, REST API и OAuth2 — Опыт работы с LLM и prompt engineering — Опыт развёртывания локальных моделей в закрытом контуре — Готовность вести разработку и эксплуатацию решения в ОС Windows — Понимание принципов защиты чувствительных и корпоративных данных Будет преимуществом: — Опыт работы с MCP — Model Context Protocol — Разработка кастомных нод и sub-workflows в n8n — React — GraphQL — FastAPI — Опыт работы с веб-поиском, парсингом и внешними API — Опыт участия в корпоративных или промышленных проектах

Задачи: — Создавать и развивать AI-ассистентов для разработки и аналитики: кодовые AI ассистенты для автоматизации разработки, помощник аналитика для ускорения экспериментов с использованием LLM. — Проектировать архитектуру агентских решений и их интеграцию с платформой: определять, что остаётся доменной логикой, а что становится переиспользуемым компонентом платформы. — Совместно с командой MLOps формировать требования к платформенным примитивам (Embedding Service, Vector Store, Retrieval/Search API) и внедрять их в пайплайны ассистентов. — Проектировать и развивать систему оценки агентов: разрабатывать метрики, строить симуляции, изолированные и верифицируемые среды оценки. — Вести полный цикл разработки: от ресёрча и MVP до поддержки и развития решения – с анализом ошибок и фидбека пользователей. — Исследовать новые подходы в разработке AI-агентов: harness-среда агента, память, компактизация контекста. Требования: — Опыт промышленной ML-разработки от 5 лет, опыт с LLM от 3 лет. — Опыт разработки AI-агентов и понимание современных паттернов проектирования: память, планирование, циклы агента, tool use, structured output. — Владение Python, способность системно писать код и доводить решения до продакшена. — Ежедневное использование кодинг AI-ассистентов (Codex / Claude Code): понимание их внутреннего устройства, границ применимости, настроенный цикл разработки. — Опыт разработки RAG-систем: retrieval, чанкование, sparse / dense / hybrid поиск, reranking, agentic retrieval. — Понимание основ ML/DL и NLP: метрики качества, embeddings, устройство трансформеров, инференс LLM. — Знание алгоритмов и структур данных, опыт работы со стеком (FastAPI, Docker, Redis, Postgres, Airflow, vLLM). Условия: — ДМС со стоматологией, телемедициной и программой поддержки ментального здоровья. — Страхование жизни. — Ежемесячные промокоды на Lamoda: два по 25%, два по 15% и в день рождения — 40%. — Программа привилегий и скидок от BestBenefits. — До 15 дней больничного в год оплачиваем в размере 100% от действующего оклада. — Бесплатные юридические консультации. — Дополнительные выходные в случае важных событий. — Яркие мероприятия и много неформального общения. Развитие для каждого: — Опытный наставник для каждого новичка. — Обучение и участие во внешних конференциях. — Помогаем развивать личный бренд, выступать на конференциях и писать статьи. — Performance Review дважды в год, чтобы развиваться системно. — Проводим митапы и demo-дни для обмена знаниями. — Погружаем в fashion и каждый сезон знакомим с модными трендами.

Location: San Francisco fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. ABOUT THIS ROLE: We're hiring an Infrastructure Accounting Lead to own the accounting for fal's largest and fastest-growing cost base: compute. GPU capacity, colocation and hosting, and the engineering effort we build on top of it all run through this role — from the detailed review of infrastructure spend each month, to the technical positions behind it, to the systems and automation that make it scale. You'll partner with Finance, Operations, and Engineering to build out fal's infrastructure and R&D accounting processes, including cost to compute. That means working with internal stakeholders and infrastructure partners on data and vendor billing accuracy, and collaborating with the Technical Accounting Lead on treatment of complex compute arrangements so our positions stand up to auditor review. This is a hands-on, high-ownership role. You'll partner closely with Infrastructure, Engineering, Procurement, Legal, and Strategic Finance, and use the latest AI tools to work productively. WHAT YOU’LL DO - Overall - Own the accounting for fal's compute costs: GPU capacity, cloud and data center commitments, and the infrastructure behind our platform. - Build AI agents, scripts and automated workflows that keep compute accounting accurate, timely and scalable, rather than manual and spreadsheet-driven. - Act as the accounting owner for compute vendors. Translate contracts, usage data and invoices into correct accounting and give clear insight into what compute really costs. Compute Cost Accounting - Account for GPU and cloud provider agreements from start to finish, including reserved and committed capacity, usage-based billing, credits and true-ups. - Collaborate with Procurement to ensure we have a reliable, systems based schedule of every compute commitment, prepayment, deposit and asset. - Capitalize GPU servers, networking and data center equipment. Set useful lives and manage depreciation, disposals and impairment reviews. - Classify compute cost correctly between cost of revenue and operating expense (R&D and internal use) so Strategic Finance can rely on it for gross margin reporting. Close, Audit & Other Technical Areas - Streamline recurring close work, leaning on AI/systems to assess usage data, match invoices to PO and contractual commitments, flag anomalies and draft journal entries, balance sheet reconciliations and variance explanations. - Collaborate with Infrastructure and Engineering on capacity changes, and with Strategic Finance on forecasts, budget vs. actual and cost per unit of compute. - Ensure compute and infrastructure accounting is audit-ready with clear documentation and policies - Review compute and colocation agreements with Technical Accounting, Legal, and Procurement to identify embedded leases (ASC 842) and other terms that impact accounting. - Support ERP system implementation, including data flows, account structure and migration needs for compute costs. QUALIFICATIONS/NICE-TO-HAVES - Bachelor's degree in Accounting or Finance; CPA preferred - 8+ years of progressive accounting experience, preferably a combination of public accounting and operational experience at a technology company (cloud infrastructure, SaaS, or AI strongly preferred) - A builder mindset that enjoys drawing the blueprint for automated, reliable and scalable processes - Best-in-class attention to detail and unwavering commitment to accuracy in an ever-changing business environment - Strong written and interpersonal communication skills — you can partner with internal and external stakeholders on complex topics and translate technical accounting into clear, concise takeaways for non-technical audiences - High agency — you set your own priorities, make decisions independently, and drive work to completion - Strong understanding of the AI development and platform infrastructure landscape - Experience at a high-growth software, cloud infrastructure, AI, or other capital-intensive technology company - AI and automation first. You use the latest AI tools — or build your own — to automate reconciliations, analyze large usage/spend datasets, and streamline your work WHAT WE OFFER AT FAL - Interesting and challenging work - A lot of learning and growth opportunities - We offer visa sponsorship and will help you relocate to San Francisco. - Health, dental, and vision insurance (US) - Regular team events and offsites COMPENSATION - $210,000 - $240,000 + equity + comprehensive benefits package   U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION: fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.

Location: Americas; APAC; EMEA Workplace: Remote RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile. We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue. We're a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance. This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading. THE ROLE As Senior Product Manager, User Acquisition, you'll explore an important extension of how RevenueCat helps developers grow: helping them not just monetize the users they have, but acquire more of the right users in the first place. RevenueCat already has several footholds in user acquisition, including our Apple Ads integration and integrations across the attribution and MMP ecosystem. But we're still early in defining what a broader RevenueCat user acquisition product should become. You'll be the first dedicated product hire focused on this space, reporting directly to our product lead for Ads, with significant latitude to shape both the strategy and the products we build. This is a genuine zero-to-one role. You won't inherit a predetermined roadmap. Your job will be to deeply understand how app developers acquire users today, identify where RevenueCat has an opportunity to solve problems meaningfully better, and turn those insights into products we can test, ship, and scale. You'll bring real expertise in mobile performance marketing and user acquisition to that process. The opportunity could eventually span attribution and measurement, products built on top of existing acquisition channels, new ways to optimize spend using downstream monetization data, partnerships, advertising infrastructure, or things we haven't considered yet. We have hypotheses, but we're hiring you in part because we want your perspective on which ones are worth pursuing. RevenueCat has some unusual advantages to build from: relationships with a large ecosystem of app developers, deep visibility into subscription and monetization outcomes, infrastructure already embedded in apps, and a growing advertising business. The challenge is figuring out how those assets can translate into something uniquely valuable for developers trying to grow. ABOUT YOU: - You have 5+ years of experience owning meaningful product or growth decisions end-to-end. Your title may have been Product Manager, founder, growth leader, or something else — what's important is that you've been accountable for deciding what to build and whether it worked. - You have deep, hands-on experience with mobile user acquisition—either directly managing and optimizing acquisition for mobile apps, or building products and infrastructure used by mobile acquisition teams. You understand how app developers actually acquire users, measure performance, and make decisions about where to spend their next dollar. - You understand the modern mobile acquisition stack, including MMPs and attribution, Apple Ads, Meta and Google advertising products, conversion APIs, and related measurement infrastructure. - You can reason clearly about attribution, performance-marketing economics, and privacy. You understand concepts such as CAC, LTV, ROAS, optimization signals, ATT, SKAdNetwork/AdAttributionKit, consent management, and how downstream behavior should influence acquisition decisions. - You thrive in zero-to-one environments. You can take a large, ambiguous opportunity, identify the most important unanswered questions, narrow it into product bets, and find pragmatic ways to test those bets before making large investments. - You are sufficiently technical to work closely with engineering on integrations, APIs, SDKs, data flows, identity, attribution, and other technical product decisions. - You communicate clearly across different audiences and media, particularly in writing. IN THE FIRST MONTH, YOU'LL: - Spend significant time with developers understanding how they acquire users today, how they evaluate acquisition performance, and where the process is painful, expensive, fragmented, or opaque. - Build a deep understanding of RevenueCat's existing acquisition-related products, integrations, data, customer research, and technical capabilities. - Build strong working relationships with engineering, design, data, go-to-market, and other product teams whose work intersects with user acquisition. - Develop a clear picture of the acquisition ecosystem, the problems RevenueCat is particularly well positioned to solve, and the biggest assumptions we still need to test. - Begin forming your own point of view on where RevenueCat could create differentiated value in user acquisition. WITHIN THE FIRST 3 MONTHS, YOU'LL: - Have narrowed the broad user acquisition opportunity into a small number of concrete product hypotheses, grounded in customer research, market understanding, and RevenueCat's unique advantages. - Have a clear recommendation for where we should focus first — and why. - Begin validating that direction through prototypes, design partners, technical exploration, lightweight product experiments, or an initial shippable bet. - Establish a learning agenda that makes the biggest risks and unanswered questions explicit, and gives us a fast path to increasing or decreasing our conviction. - Align senior stakeholders around what we're testing, what we're not pursuing yet, and what evidence would cause us to change direction. WITHIN THE FIRST 6 MONTHS, YOU'LL: - Have shipped our first substantive user acquisition product bet, or generated enough evidence to decisively change or stop it before making a larger investment. - Have real evidence from the market about where RevenueCat can — and cannot — create differentiated value. - Be independently driving product discovery, prioritization, and execution for the user acquisition area. - Have developed an evidence-backed point of view on the most promising opportunities in the space and what capabilities RevenueCat would need to pursue them. - Have turned a broad strategic opportunity into an increasingly focused product direction. WITHIN THE FIRST 12 MONTHS, YOU'LL: - Have established a clear strategic direction for RevenueCat in user acquisition, supported by customer behavior and product evidence rather than thesis alone. - Have shipped meaningful products or experiments that either created measurable value for developers or materially changed our understanding of the opportunity—including changing or killing bets when the evidence didn’t support them. - Have a credible longer-term roadmap for turning the strongest early signals into a meaningful RevenueCat product area. - Be the primary IC product owner for User Acquisition and the internal domain expert on how app developers acquire, measure, and optimize users. - Have helped define how RevenueCat's monetization data, developer footprint, and advertising capabilities can work together to create a differentiated position in app growth. WHAT WE OFFER: - Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator - 10-year window to exercise vested equity options - A fully remote environment designed around autonomy and flexibility - 4-5 weeks of flexible time off annually - Paid desk at a co-working space - Workspace budget and continuous learning stipend INTERVIEWING AT REVENUECAT Our interview process is rigorous on purpose. We want to be sure that everyone we bring on is genuinely excited about this work, aligned with how we operate, and ready to meet our high bar for performance. Curious what that actually looks like? Read more in our blog post on how we hire at RevenueCat https://www.revenuecat.com/blog/company/how-we-hire-at-revenuecat/, including tips to help you succeed. MORE ON HOW WE WORK: - How we think about hiring and team design: Building a Winning Team https://app.notion.com/p/Building-a-Winning-Team-69e431c4c3df4b13961523cd93c0e9bf?pvs=21 - The values that guide how we work: Our Values https://www.revenuecat.com/blog/values/ - How we work as a remote team: How We Work Remotely at RevenueCat https://www.revenuecat.com/blog/how-we-work-remotely-at-revenuecat/ - What to expect from our interview process: Interview Expectations https://app.notion.com/p/RevenueCat-Interview-Expectations-1bdcb1a108b0800c8941def0f076f9e2?pvs=21 - What to expect from comp and employment: Employment FAQ https://app.notion.com/p/RevenueCat-Compensation-Employment-Overview-184cb1a108b0801398d4e525928597ab?pvs=21

Location: Remote - Singapore Workplace: Remote 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: We're looking for a Deployed Engineer to join our Professional Services team, working directly with enterprise customers to build reliable, production agents. You'll translate vague enterprise workflows into concrete software specs and guide engineering teams through the resulting solution, or build it for them. You might spend a week designing a customer's agent architecture, a few weeks co-building their evaluation pipeline, or a quarter embedded inside their team shipping alongside their engineers. You are someone who's built real AI systems for production and can defend the technical tradeoffs within them. KEY RESPONSIBILITIES: - Advising: Agent architecture design, evaluation strategy review, and best-practice production guidance. - Building: Co-build with the customer's engineering team across the full Agent Development Lifecycle (ADLC) in outcome-scoped engagements. - Embedding: Serve as a deployed engineer inside the customer's team for extended engagements, operating as a de facto member of their org to ship agent systems directly. - Agent Engineering: ADLC end-to-end, architecture design, orchestration patterns, evals, custom conversational UIs, and production deployment. - Applied AI: Post-training, supervised fine-tuning, harness engineering, trace mining, model selection and evaluation methodology. REQUIREMENTS: - 4+ years of software engineering experience with deep expertise in Python. TypeScript/JavaScript a plus. - 2+ years of hands-on experience building and shipping production agent systems. - Strong client-facing communication skills, with the ability to confidently articulate architectural decisions to technical stakeholders (engineers, architects, CTOs). - Strong experience with LangChain/LangGraph/Deep Agents or comparable frameworks, including multi-agent patterns and state management (short and long-term memory). - Deep familiarity designing and implementing evaluation methodologies for non-deterministic AI systems. - Comfortable operating across the full spectrum from advisory to embedded delivery. - Willing to travel up to 20% of the time. NICE TO HAVE: - Exposure to dataset curation and post-training techniques (SFT, DPO, RLHF) on open-weight models using tools like Axolotl, Unsloth, Hugging Face transformers, or TRL. - Experience with trace mining to drive continuous improvement loops COMPENSATION: $185,000-$260,000 base salary + equity Location: - Singapore - Remote with up to 25% travel Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions. 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.

Задачи: — Участвовать в полном цикле разработки backend (от архитектуры и кодинга до запуска в промышленный контур); — Проектировать и развивать REST API для внешних интеграций; — Работать с PostgreSQL и очередями Kafka; — Писать качественный код с полным покрытием автотестами. Требования: — Опыт коммерческой разработки на Scala 2.13 (стандартная библиотека, Future, implicits) от 4 лет; — Практический опыт с Quill (оптимизация запросов, партиционирование) и Jetty (embedded, пулы потоков, WebSocket); — Уверенная работа с Kafka (консьюмеры/продюсеры, ручной коммит, обработка ребалансировки); — Знание Bouncy Castle (ECDSA, Keccak, работа с ключами); — Опыт работы с Liquibase (миграции без даунтайма), Cucumber и CI/CD (Jenkins, Groovy); — Понимание концепций популярных блокчейнов (блоки, транзакции, логи, криптография) и опыт работы с RPC-клиентами (Web3j / ethers / JSON-RPC); — Опыт работы с агентской разработкой. Условия: — Удобный формат работы на выбор: офис или гибрид; — Комфортный современный офис в Москве (пер. Оружейный, 41); — Ежегодный пересмотр зарплаты и годовая премия; — Расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа; — Льготная ипотека (выгоднее до 7%) для сотрудников; — Подписка СберПрайм (можно разделить с 3 близкими); — Корпоративный спортзал, зоны отдыха и доступ к 400+ образовательным программам СберУниверситета.

Location: New York, NY (HQ); San Francisco, CA; Remote (US); Miami, FL Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp's Accounting Channel is seeing exponential growth, and as an early member of the team, you'll have the opportunity to help scale the go-to-market engine and strategy that fuels a key growth driver for the company. At Ramp, we are looking for candidates with a proven track record of acquiring and building net new relationships with accounting and advisory partners, enabling and onboarding their team members, and achieving consistent quota attainment and overachievement through closing client referrals. WHAT YOU'LL DO - Source, qualify and conduct deep discovery with net new Accounting partners - Sign partners and create comprehensive GTM plans - Drive revenue for Ramp through generating client referrals from accounting firms - Identify and build relationships with multiple stakeholders within an accounting firm - Educate accounting firms on Ramp's offering and articulate the value props - Hold monthly and quarterly business reviews with key accounting partners - Work cross-functionally across marketing, growth, direct sales, and product & engineering to drive co-marketing opportunities, onboard new clients and inform our product roadmap - Become an expert in Ramp's product, features, and workflows - Build new (and improve existing) workflows and sales motions to contribute to our team's continued success WHAT YOU NEED - 3+ years of professional experience, ideally in Partnerships, Full-Cycle Sales, or a high-volume pipeline generation role - Comfortable running a high volume of partner meetings each week and switching between activating new partners and growing existing ones - Strong discovery skills, with a knack for identifying pain points and consultative selling - History as a top performer, regularly exceeding targets and quotas - Dedication to tracking and improving performance and efficiency on a daily basis - Strong written and verbal communication skills, with excellent listening skills - Bias for action and strong desire to work in a fast-paced startup environment - Strong cross-functional collaborator who can build relationships across the company - Experience with and affinity for AI tooling that empowers your work NICE TO HAVES - Prior experience partnering with accounting firms in a consulting, sales, or partnerships capacity - Background or proficiency in accounting - Experience across both pre-sales and post-sales roles - Entrepreneurial, founding, or early-team experience where you wore many hats BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice