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 $200B in annualized spend flows in and out of 70,000+ 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 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 is looking for a Senior Underwriter to join our Underwriting team in Europe. You’ll evaluate businesses applying to Ramp, make credit and risk decisions, and help improve how we assess customers across our products. This is an early regional role supporting EU and US applicants. We’re looking for someone with strong financial judgment who can work independently, make clear decisions with incomplete information, and help us build scalable underwriting processes. What You’ll Do Review applications for Ramp’s corporate card and bill pay products across the EU and US. Analyze financial statements, bank data, bureau information, and other risk signals to assess business health and repayment ability. Recommend the appropriate outcome, including approval, decline, a lower limit, or a request for additional information. Communicate clearly with customers when additional information or context is needed. Manage an underwriting queue while meeting quality and SLA expectations. Partner with teams across Risk, Product, Engineering, Sales, an
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Asana Marketing is hiring a Product Marketing Director to own the GTM strategy for our new product, Command by Asana. This strategic, high-growth role is focused on rapidly scaling products from initial traction to mass adoption. You will operate at the intersection of product strategy and commercial execution, working with Product to launch new features, arming Sales with the tools to win deals, and collaborating with partners to generate market momentum. This opportunity is ideal for someone with experience selling to developers and engineering leaders, who has navigated both PLG and SLG motions, and is technical enough to communicate with depth and credibility. This role is based in our San Francisco, New York or Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Define and own the end-to-end go-to-market strategy , partnering closely with the Integrated Campaigns team to drive measurable business results. Develop and maintain messaging and positioning that articulates how new applications serve enterprise needs and solve complex problems for technical personas. Drive high-impact product launches that generate market momentum, ranging from flagship releases to incremental feature updates. Equip Sales and Success teams to win by creating high-quality enablement materials, including battlecards, pitch decks, and customer stories. Act as the connective tissue between Product, Partnerships, and Sales to ensure product-market fit and roadmap alignment. Analyze performance data and customer feedback to refine positioning and proactively identify new growth opportunities. About you Experience: 8+ years of experience in pr
Asana Marketing is hiring a Principal Product Marketing Manager to own the GTM strategy for our new product, Command by Asana. This strategic, high-growth role is focused on rapidly scaling products from initial traction to mass adoption. You will operate at the intersection of product strategy and commercial execution, working with Product to launch new features, arming Sales with the tools to win deals, and collaborating with partners to generate market momentum. This opportunity is ideal for someone with experience selling to developers and engineering leaders, who has navigated both PLG and SLG motions, and is technical enough to communicate with depth and credibility. This role is based in our San Francisco, New York or Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Define and own the end-to-end go-to-market strategy , partnering closely with the Integrated Campaigns team to drive measurable business results. Develop and maintain messaging and positioning that articulates how new applications serve enterprise needs and solve complex problems for technical personas. Drive high-impact product launches that generate market momentum, ranging from flagship releases to incremental feature updates. Equip Sales and Success teams to win by creating high-quality enablement materials, including battlecards, pitch decks, and customer stories. Act as the connective tissue between Product, Partnerships, and Sales to ensure product-market fit and roadmap alignment. Analyze performance data and customer feedback to refine positioning and proactively identify new growth opportunities. About you Experience: 8+ years of experie
Mortgage Loan Processing Subject Matter Expert Location: Bangalore, India (Offshore) Employment Type: Full-Time About SAI Group SAI Group is a private investment firm that has committed $1 billion to incubate and scale revolutionary AI-powered enterprise software application companies. Our portfolio, a testament to our success, comprises rapidly growing AI companies that collectively cater to over 2,000+ major global customers, approaching $600 million in annual revenue, and employing a global workforce of over 4,000 individuals. SAI Group invests in new ventures based on breakthrough AI-based products that have the potential to disrupt existing enterprise software markets. SAI Group’s latest investment, JazzX, is a pioneering technology company which is building a platform that will not only shape the future of enterprise AI applications but also offer practical solutions to real-world challenges. Role Overview As JazzX’s Mortgage Loan Processing SME, you will be the single-domain authority for U.S. residential mortgage loan processing across product, engineering, and operations. You will own how processing workflows — file setup, document collection and review, third-party service ordering, condition clearing, and submission to underwriting and closing — are defined, explained, and operationalized into the JazzX Mortgage Application. This is a hands-on position based in our Bangalore office, working closely with the product and engineering teams. You will process representative loan files, document every step, decision, and exception in detail, and translate that operational knowledge into product requirements, decision rules, test cases, and validation programs for AI-assisted processing. JazzX is building AI products that automate and assist U.S. residential mortgage origination and fulfillment. Our product and engineering tea
Mortgage Loan Officer Subject Matter Expert Location: United States (Onshore; Remote with periodic travel) Employment Type: Full-Time About SAI Group SAI Group is a private investment firm that has committed $1 billion to incubate and scale revolutionary AI-powered enterprise software application companies. Our portfolio, a testament to our success, comprises rapidly growing AI companies that collectively cater to over 2,000+ major global customers, approaching $600 million in annual revenue, and employing a global workforce of over 4,000 individuals. SAI Group invests in new ventures based on breakthrough AI-based products that have the potential to disrupt existing enterprise software markets. SAI Group’s latest investment, JazzX, is a pioneering technology company which is building a platform that will not only shape the future of enterprise AI applications but also offer practical solutions to real-world challenges. Role Overview As JazzX’s Mortgage Loan Officer SME, you will be the single-domain authority for the front end of the mortgage business — lead intake, borrower consultation, qualification, structuring, pricing, locking, and application handoff — across product, engineering, and operations. You will own how loan officer workflows, incentives, and borrower interactions are defined, explained, and operationalized into the JazzX Mortgage Application, ensuring that AI-assisted sales and origination experiences faithfully reflect how loan officers actually work and win business. This is a hands-on position. You will work representative borrower scenarios end-to-end, document how loan officers qualify, structure, and price loans, map the lead-to-lock-to-submission journey, and sit with product managers and engineers daily to translate that knowledge into detailed product requirements, decision logic, and acceptance criteria. JazzX is bui
Research Engineer, Applied AI Location: Germany About EnCharge AI: EnCharge AI is building the next generation AI platform. Our novel in-memory-computing architecture delivers a 10x step-function improvement in compute energy efficiency and performance for AI inference workloads. As the demands of artificial intelligence move beyond today's models, we believe fundamental underlying infrastructure must evolve. We are an experienced team of AI researchers, silicon & systems engineers, and architects backed by leading investors, poised to become the essential platform for the next wave of AI innovation. The Opportunity: Modern AI workloads—from large language models to diffusion-based generators to multimodal systems—represent some of the most compute-intensive frontiers in AI, and some of the most promising applications for our hardware’s energy efficiency advantages. We’re building a vertically integrated AI stack that will showcase the transformative potential of our silicon while delivering real value to customers today. We are seeking a Research Engineer to push the boundaries of AI model capability, quality, and efficiency. You’ll build fine-tuning and post training pipelines, develop rigorous benchmarking frameworks, and work at the intersection of ML research and hardware-aware optimization—ensuring our models run beautifully on our silicon. This is a role for someone who thrives at the boundary between research and engineering. You’ll read papers, implement techniques, and ship production-quality code—all in service of making AI inference faster, cheaper, and better. Key Responsibilities: Algorithmic Acceleration: Research and implement state-of-the-art techniques to accelerate AI inference—quantization, sparsity, distillation, speculative decoding, caching strategies, and
Data Engineer Prolific Prolific is not just another player in the AI space—we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. The role We're looking for a Data Engineer to help build scalable data solutions that serve teams across the business—from data scientists and analysts to AI engineers and product teams. You'll contribute to both the underlying platform and the way data is used in our products, working in a modern, cloud-native environment where privacy, security, and good data practices are part of how we build. What you’ll bring to the role Technical Expertise: 3+ years building and shipping production-grade data systems, with strong SQL skills and proficiency in Python or another object-oriented language (Java, Scala etc.) Familiarity with cloud-native infrastructure—ideally some exposure to Terraform, Kubernetes, or similar IaC and container orchestration tools. We don't expect deep expertise in all of these, but comfort working in this kind of environment matters. Experience designing data APIs or services that expose data to applications, or a strong interest in working across the analytical/operational boundary. A thoughtful approach to data quality, privacy, and security—you understand that how data is used is as important as how it's moved. Strong collaboration skills and comfort working across teams with different priorities—engineers, data scientists, AI engineers, and product. A pragmatic, curious mindset—you enjoy keeping up with the field and know when to reach for a new tool versus when to stick with what works. Pipeline Management: Hands-on experience with data pipeline tools (Airflow, dbt) and strong ability to optimize for performance and reliability.
About Druva Druva is the resilience foundation for the AI enterprise, helping organizations secure and recover from connected risk across data, cyber, identity, and AI. The Resilience Cloud is a fully managed, cloud-native SaaS platform that delivers air-gapped and immutable protection across cloud, SaaS, on-premises, endpoint, and edge environments. Powered by Dru MetaGraph, Druva’s graph-powered intelligence layer, the platform connects critical business context so customers can understand risk, respond faster, recover cleanly, and govern data with greater confidence. Trusted by nearly 7,500 customers, including 75 of the Fortune 500, Druva helps safeguard the critical information and systems businesses depend on in an increasingly connected world. Visit druva.com and follow us on LinkedIn , X and Facebook . The Role & The Team: We are looking for a talented, motivated, and quality-focused Senior Test Automation Engineer to design testing procedures for our software applications. The candidate will be responsible for analyzing the functionality of applications and designing automated tests to validate their stability and performance. They will have a technical background, a strong analytical thinker, and a proven ability to analyze complex solutions and define the appropriate test strategy. They will be a determined individual, who is confident to probe and question, and work with Developers and Product Owners to understand requirements and develop and maintain automated and manual tests. They will be responsible for active issue management in coordination within the team, communicating the cause, effect, and impact of those issues to the team, who can then prioritize appropriately. You will be responsible for coding, testing, and maintaining software systems, while mentoring and building the test capabilities of the agile teams. Reporting to the Director of Engineering, the candidate will recognize areas
At Jamf, we believe in an open, flexible culture based on respect and trust. Our track record and thriving work environment all stem from the freedom we grant ourselves to get the job done right. We take pride in helping tens of thousands of customers around the globe succeed with Apple. The secret to our success lies in our connectivity, while operating with a high degree of flexibility. Work-life balance remains our priority while feeling connected is important to maintain our strong culture, achieve our goals, and thrive as #OneJamf. What you’ll do at Jamf At Jamf, we empower people to be their best selves and do their best work. The Channel Account Executive will help grow Jamf's Benelux business through Channel Partners to ensure our partners can meet or exceed pipeline, bookings, retention and on-time renewal targets. We want somebody who can quickly become a genuine Jamf evangelist and subject matter expert, conveying the value of our Whole Product Experience to sales teams within our channel, and supporting growth with new and existing channel partners. This role is hybrid from Amsterdam Zuid when not traveling in the Benelux area. We are only able to accept applications for those based in the NL or have sponsorship to live and work in the NL #Li-hybrid What you can expect to do in this role Develop and execute channel business plan to scale and grow business rapidly with key stakeholders at Apple, as well as existing and development partners in UK and execute at or above assigned quota levels. Deliver the Jamf Partner Program and ensure the right execution with your partners including sales readiness training Maintain high-level relationship with your champion and C-Level contacts within the partner organization. Works together with key roles such as Sales, Marketing, and Professional Services within partner entities to ensure that vertical offerings are understood and brought to market. Working closely wi
At Jamf, we believe in an open, flexible culture based on respect and trust. Our track record and thriving work environment all stem from the freedom we grant ourselves to get the job done right. We take pride in helping tens of thousands of customers around the globe succeed with Apple. The secret to our success lies in our connectivity, while operating with a high degree of flexibility. Work-life balance remains our priority while feeling connected is important to maintain our strong culture, achieve our goals, and thrive as #OneJamf. The Enterprise Business Development Representative plays a critical role in the growth of the company’s enterprise customer base. This role is responsible for identifying, qualifying, and developing new high-value business opportunities within large-scale organizations. He/she prospects into a target list of Enterprise accounts, with the aim of uncovering opportunities to sell Jamf products. He/she will leverage our Channel partners, as well as social media, webinars, events, phone and sales tools such as Groove, in order to build relationships with decision makers and advise on Jamf’s solutions to solve business challenges. The Enterprise BDR will collaborate with Marketing and one or more Key Account Manager(s) to identify target accounts, initiate contact with decision makers, and nurture prospects through early stages of the sales cycle. This role is offered as hybrid , with the expectation to be in the office in Amsterdam Zuid 3 days per week. We are only able to accept applications for those based in the NL and have
About the Team The Legal team is building the next generation of AI-powered products and experiences for the legal industry. We are exploring how advanced AI systems can transform legal workflows, improve access to information, and enable legal professionals and organizations to work more effectively. As a founding member of the Legal engineering team, you will help define the technical foundation for this new product area from the earliest stages. You’ll operate at the intersection of AI, product, and real-world legal workflows—identifying opportunities, building prototypes, and turning emerging ideas into scalable products that can create meaningful impact. We operate with a startup-like mindset inside OpenAI: small teams, rapid iteration cycles, and a willingness to explore bold ideas, learn quickly, and adapt based on user feedback. Our goal is to build products that meaningfully improve how legal professionals work while leveraging OpenAI’s cutting-edge models and infrastructure. About the Role As a Founding Full-Stack Software Engineer on the Legal team, you will help imagine, build, and scale new AI-powered products for the legal industry. You’ll work across the stack to design intuitive user experiences, build robust backend systems, and create the foundations for products used by legal professionals and organizations around the world. You’ll have significant ownership from the earliest stages—working closely with product, design, research, and go-to-market partners to understand customer needs, shape product direction, and deliver high-impact solutions. This includes rapidly prototyping new concepts, building production-quality applications on top of OpenAI’s platforms, and developing new technical approaches when existing systems are not sufficient. We’re looking for engineers who thrive in ambiguity, have strong product instincts, and enjoy building from 0→1. You should be comfortable moving quickly, making thoughtful technical decisions, and taking owner
Senior-level individual contributor on the Brand Creative team responsible for the execution, evolution, and stewardship of the visual brand across high-impact experiences, initiatives, and design systems. This role requires balancing hands-on design execution with cross-functional project ownership, while building and providing brand enablement to both internal teams and external partners to ensure the brand is applied consistently and effectively. Please submit your portfolio in addition to your resume when applying. This role can either be based remotely in the US or in one of our office locations. Key Responsibilities Help lead and execute design work across brand experiences, campaigns, and events (e.g. .local, Mindshare Brand Campaigns, AWS re:Invent, SKO, etc) Deeply involved in concepting, ideation, and system development for high-impact initiatives, translating brand strategy into scalable visual systems across print, digital, motion, and environmental applications Own design execution end-to-end, from early concept through delivery, serving as a key communicator across internal teams, agencies, and contractors. Provide system documentation, visual storytelling guidance/direction, and feedback to ensure alignment and consistent execution of brand systems across deliverables, timelines, and stakeholder reviews, particularly within fast-paced event and campaign environments Build and maintain enablement resources that allow teams across the organization to apply the brand confidently and correctly. This includes templates, documentation, and guidance for programs beyond marketing, ensuring brand systems are usable, clear, and well-communicated Serve as a keeper of the brand, maintaining and evolving core brand systems including typography, iconography, logo usage, color, and layout frameworks. Ensure brand libraries and shared resources such as the Figma brand library, presentation templates, icons, and brand book remain accurate and up to date Collaborate cl
About the Team The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve. We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste. Our team is where new model capabilities get made. We build the data, environments, graders, training methods, and feedback loops that shape what OpenAI's next agents can do, then carry those capabilities through major training runs and into the products people use. About the Role As a member of Agent Post-Training, Computer Use, you will teach models to operate computers. You will help train models that can navigate browsers and desktops, use tools and applications, reason through complex workflows, collaborate with users and other agents, and complete long-horizon tasks with reliability and judgment. This work sits at the intersection of frontier model training, product behavior, evaluation, and systems engineering, and will directly shape the computer-use capabilities shipped in OpenAI’s next generation of agents. Currently, our models are the best in the world at this behavior! You will work with researchers, engineers, product teams, infrastructure teams, and safety/alignment partners to decide what should go into major model runs, measure whether it worked, and ship improvements into products used by real people. This is a high-agency role for people who want their work to land directly in frontier models. In this role, you might Design and run experiments th
About the Team The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve. We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste. Our team is where new model capabilities get made. We build the data, environments, graders, training methods, and feedback loops that shape what OpenAI's next agents can do, then carry those capabilities through major training runs and into the products people use. About the Role As a member of Agent Post-Training, Connectors, you will teach models how to interface with the top professional software using code. You will help train agents to use code, APIs, tools, and structured integrations to operate across applications like Slack, Google Workspace, GitHub, Notion, Linear, Salesforce, and other core systems of work. You will help enable models to take useful actions across a user’s digital context: finding information, updating systems, coordinating work, generating artifacts, and completing multi-step workflows through the tools teams already use. You will train models to be supercharged by the world’s most important productivity and enterprise software, turning connected tools into a powerful action surface for our agents. You will work with researchers, engineers, product teams, infrastructure teams, and safety/alignment partners to decide what should go into major model runs, measure whether it worked, and ship improvements into products used by real people.
Research Engineer, Applied AI Location: Bangalore (or throughout India remote-friendly with travel) About EnCharge AI: EnCharge AI is building the next generation AI platform. Our novel in-memory-computing architecture delivers a 10x step-function improvement in compute energy efficiency and performance for AI inference workloads. As the demands of artificial intelligence move beyond today's models, we believe fundamental underlying infrastructure must evolve. We are an experienced team of AI researchers, silicon & systems engineers, and architects backed by leading investors, poised to become the essential platform for the next wave of AI innovation. The Opportunity: Modern AI workloads—from large language models to diffusion-based generators to multimodal systems—represent some of the most compute-intensive frontiers in AI, and some of the most promising applications for our hardware’s energy efficiency advantages. We’re building a vertically integrated AI stack that will showcase the transformative potential of our silicon while delivering real value to customers today. We are seeking a Research Engineer to push the boundaries of AI model capability, quality, and efficiency. You’ll build fine-tuning and post training pipelines, develop rigorous benchmarking frameworks, and work at the intersection of ML research and hardware-aware optimization—ensuring our models run beautifully on our silicon. This is a role for someone who thrives at the boundary between research and engineering. You’ll read papers, implement techniques, and ship production-quality code—all in service of making AI inference faster, cheaper, and better. Key Responsibilities: Algorithmic Acceleration: Research and implement state-of-the-art techniques to accelerate AI inference—quantization, sparsity,
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