Language Partner Jobs

As an (Enterprise) Account Executive, Growth, you will play a pivotal role in driving the growth and success of MongoDB. You will be responsible for identifying and pursuing new business opportunities, cultivating relationships with key stakeholders, and ensuring the successful adoption of our solutions. We are looking to speak to candidates who are based in Singapore for our hybrid working model. What You’ll Be Doing Strategically prospect into CTOs, Engineering/IT leaders, and technical end users in Philippines market Build strong and effective relationships, resulting in growth opportunities Manage the full sales cycle for all MongoDB Products & Services Develop and execute a strategic territory plan to achieve revenue targets Build a sales pipeline in Salesforce and Terret while maximizing prospecting tools such as Sales Navigator, ZoomInfo, Sendoso, and Outreach Collaborate with the sales ecosystem to drive sales initiatives and partnerships What You’ll Bring To The Role 8+ years of full-cycle sales experience, with an emphasis on closing new customers Must have prior experience covering the Vietnam market Native Vietnamese / English language skills and a strong understanding of the Vietnam enterprise sector Demonstrated success with cold calling and creative pipeline generation strategies A proven track record of overachievement and hitting sales targets Ability to articulate the business value of complex enterprise technology Things we love Passionate about growing your career in the largest market in software (database) Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales) Familiarity with databases, develops and open source technology a plus About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most wi

About the role As an Enterprise Account Executive, Growth, you will play a pivotal role in driving the growth and success of MongoDB. You will be responsible for identifying and pursuing new business opportunities, cultivating relationships with key stakeholders, and ensuring the successful adoption of our solutions. We are looking to speak to candidates who will be or are based in Singapore for our hybrid working model. What You’ll Be Doing Strategically prospect into CTOs, Engineering/IT leaders, and technical end users in Philippines market Build strong and effective relationships, resulting in growth opportunities Manage the full sales cycle for all MongoDB Products & Services Develop and execute a strategic territory plan to achieve revenue targets Build a sales pipeline in Salesforce and Terret while maximizing prospecting tools such as Sales Navigator, ZoomInfo, Sendoso, and Outreach Collaborate with the sales ecosystem to drive sales initiatives and partnerships What You’ll Bring To The Role 8+ years of full-cycle sales experience, with an emphasis on closing new customers Must have prior experience covering the Vietnam market Native Vietnamese / English language skills and a strong understanding of the Vietnam enterprise sector. Demonstrated success with cold calling and creative pipeline generation strategies A proven track record of overachievement and hitting sales targets Ability to articulate the business value of complex enterprise technology Things we love Passionate about growing your career in the largest market in software (database) Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales) Familiarity with databases, develops and open source technology a plus Why join now MongoDB prides themselves in the development of each of our new hires & continuous career development Best in breed Sales trainings in MEDDIC and Command of the Message, including our comprehensive Sales Bootcamps and development programs New hire stock e

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The AI Engineer will design, implement, and deploy production-ready AI solutions that enable intelligent automation and strengthen business capabilities. The role focuses on building modular, scalable agentic applications using open-source and proprietary large language models, with hands-on implementation using LangChain. The AI Engineer II will develop reusable components, data pipelines, retrieval capabilities, and performance optimization strategies while partnering with business, product, data, and technology teams Key Responsibilities: Design, implement, and deploy AI agents and generative AI solutions using Python, with hands-on use of LangChain and related orchestration frameworks Build modular, scalable, and reusable agent components, including memory, planning, tool use, retrieval, and multi-modal capabilities Develop retrieval-augmented generation (RAG) solutions using embeddings, vector databases, and enterprise data sources Integrate open-source and proprietary large language models and evaluate the appropriate model for each business use case Collaborate with Research, Managed Services, product, data, and technology teams to translate business needs into practical AI solutions Prototype and evaluate agent behaviors, prompt strategies, learning approaches, and tool-calling workflows Build and maintain scalable data pipelines and APIs that support AI development, evaluation, deployment, an

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm's mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. What are we building We are building a full-stack AI Agentic Platform that powers customer, sales and internal workflows end-to-end. Core capabilities are including but not limited to: *Multi-agent, multi-modal customer interactions. *Agents which can handle agent decision hubs. *Evaluation engines to score and diagnose interactions. *Generating insights from chat to improve SOP, Tools and Product *Flow Fine-tuning & deployment pipelines *Observability with agent telemetry systems Safety, governance, and cost optimization layer. What are we looking for We are looking for builders who have a passion for building great products and have demonstrated this through their projects in recent years. Competencies * Create explainable workflows for multi-agent systems * Design and operate evaluation systems for millions of conversations * Fine-tuning of language models and its deployment workflows * Architect low-latency pipelines for text/voice interactions * Ensure safety, auditability, and compliance by design * Partner with stakeholders including PM, Engineering, Design, Data Scientists, Ops, and Analysts to ship features across business lines * Create standards for prompt design, prompt improvement, agent traits, and safety checks * Build APIs, SDKs, and runtimes for agent execution * Mentor juniors and contribute to platform-wide thought leadership * Experience with multi-agent frameworks (AutoGen, LangGraph, Haystack, ReAct, Supervisor-Executor patterns) * Background in LLM ops including training, data pipelines, GPU scheduling * Experience with Voice & telephony integrations * Knowledge of safety model design o

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI Architect on the Startups team at Anthropic, you will win the trust of founders and engineers by being an exceptional technical partner, helping startups successfully build on the Claude Developer Platform as they grow from early product to scale. You'll combine deep technical expertise with a builder-first mindset to help startups architect innovative LLM solutions, win technical evaluations, and get the most out of Claude. Working closely with Account Executives and the broader Sales, Product, and Engineering teams, you'll guide startups from initial technical discovery through successful deployment and beyond. You'll leverage your expertise to help founders understand Claude's capabilities, develop evals, and design architectures that maximize the value of our AI systems. Responsibilities: Partner with Account Executives to deeply understand startup requirements, translate them into technical solutions, and serve as a trusted technical advisor throughout the Claude adoption journey from initial evaluation through deployment and expansion Win technical evaluations that demonstrate why Claude is the best foundation for what startups are building, helping them develop evaluation frameworks to measure Claude's performance for their specific use cases Build technical credibility with founders, founding engineers, and startup engineering teams by speaking their language, understanding their build patterns, and guiding technical architecture decisions Gather insights on how startups are building with Claude, identify emerging use cases and deployment patterns, and deliver feedback to Product and Engineering

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We’re looking for an early-to-mid career Content Designer to join our Personalization team. You’ll help design personalized experiences that help people discover ideas they’ll love, while preserving the moments of serendipity that makes Pinterest unique. As a Content Designer II, you’ll work on surfaces like Homefeed to help users understand, navigate, and trust experiences that adapt to their interests, behaviors, and needs. Content Designers at Pinterest are advocates for the user experience. We use language, information hierarchy, and content strategy to shape product experiences. The ideal candidate is a thoughtful content designer who understands how content can influence the direction of an experience, transform complexity into clarity, and create meaningful experiences at scale. What you’ll do: Partner with Product, Design, Enginee

Laat jouw positieve energie stromen als Product Owner in Rotterdam. In deze rol combineer je platformontwikkeling, stakeholdermanagement en verandermanagement in een omgeving waar nog veel te bouwen is. Zie jij jezelf daarin terug? Lees snel verder: We don't want to disappoint, but we only accept applicants that have a good command of the Dutch language and are already (or about to be) based in the Netherlands. Hier krijg jij positieve energie van Veel invloed op de koers en ontwikkeling van een strategisch dataplatform binnen Greenchoice. De ruimte om samen met engineers, dataspecialisten en stakeholders te bouwen aan een platform met zichtbare impact op de organisatie. Veel autonomie en verantwoordelijkheid, met volop mogelijkheden om mee te groeien met de ambities van het platform en het team. Dit ga je doen als Product Owner Data Management Platform Bij Greenchoice bouwen we aan één centraal Data Management Platform dat de basis vormt voor hoe teams data beheren, analyseren en inzetten. Dit platform is dé plek waar we onze ETL-processen, algoritmes, MLflow-modellen en generatieve AI-oplossingen ontwikkelen en beheren. De fundering staat. Nu is het tijd om het platform verder te ontwikkelen, meer business teams aan te sluiten en ervoor te zorgen dat data een vanzelfsprekend onderdeel wordt van hoe we werken. Als Product Owner speel jij een sleutelrol in die volgende groeifase. Je geeft richting aan de ontwikkeling van het platform en bepaalt samen met het team waar de grootste waarde ligt. Je vertaalt behoeften van gebruikers naar een heldere roadmap, brengt focus aan in prioriteiten en stemt dagelijks af met de Lead Data Engineer, engineers en externe partners. Tegelijkertijd help je teams om het platform succesvol te omarmen, zodat zij zelfstandig waarde uit hun data kunnen halen en we als organisatie sneller vooruitgang boeken. Jouw uitdagingen: Je brengt het Data Management Platform naar de volgende fase door steeds meer business teams aan te sluiten en ervoo

Quant/Developer Analyst for a Discretionary Macro Investment Team focused on Structured Products A Career with Point72’s Macro Team Point72’s Global Macro business is a scaled, global investment platform with more than two decades of experience trading across rates, FX, credit, volatility, and emerging markets. Operating across 10 offices worldwide, we have doubled our capital allocation and grown our number of teams fivefold since 2020. We combine deep asset-class expertise with a highly collaborative culture across macro, fundamental equities, and systematic strategies to drive differentiated investment performance and support long-term career growth for our talent. What you’ll do Help architect and maintain the infrastructure for Structured Products investing. Leverage internal and external partners to help with data infrastructure builds. Integrate alternative and traditional data sets to help streamline our analytic processes. Use Artificial Intelligence (AI) to enhance and optimize processes. Work with risk parameters based on High Yield Equivalent and quantitative processes within market-standard analytics platforms such as Bloomberg. Manage and assist in special projects within the CLO market. What’s required 3+ years at a sell-side firm in a trading or quantitative research role, or as a quant at a buy-side credit or mortgage-focused fund. Undergraduate degree or higher in computer science, economics, engineering, mathematics, physics, or statistics. Advanced knowledge of a programming language such as Python, C++, or SQL. Advanced skills in Excel and cashflow modeling. Extensive experience with third-party structured credit cashflow engines (e.g., INTEX) and API. Commitment to the highest ethical standards. We take care of our people We invest in our people, their careers, their health, and their well-being. When you work here, we provide: Fully-paid health care benefits Generous parental and family leave policies Volunteer opportunities Support for employ

About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the Role Appier is seeking a Software Engineer, Ad Serving to be the deepest technical problem-solver behind our advertising products. When a campaign underdelivers, when CVR drops without an obvious cause, or when a partner integration behaves unexpectedly, you are the person who reproduces the issue, reads the logs, queries the data, and gets to the actual root cause — then explains it in language a client or an account team can act on. You will work at the intersection of ad serving, data, and machine learning: diagnosing delivery and performance issues across the full funnel from bid request to conversion, validating partner and supply integrations, and turning what you find into concrete improvements to our bidding and supply strategy. You will also build the tooling and playbooks that let the rest of the organization resolve these issues without you. [The seniority/title is determined by job-related skills, experience, and evaluation after the interview.] Responsibilities Own Tier 2/3 escalations across ad serving, tracking, data pipelines, and ML-driven bidding Perform root cause analysis on delivery failures, pacing anomalies, and performance metric fluctuations (CTR/CVR/CPA/ROAS) Debug OpenRTB integrations, VAST/video, SDKs, MMP postbacks, and conversion tracking (S2S, CAPI, SKAdNetwork) Use SQL to analyze large-scale bid/impression/conversion data and isolate anomalies Analyze supply-side data (SupplyChain object, ads.txt, sellers.json) to strengthen delivery strategy and flag invalid traffic Build internal tools and

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a Business Intelligence Analyst, you will partner with business stakeholders and functional teams to turn metrics into clear BI requirements, dashboards, and reports — with AI woven into every part of the workflow, from requirement gathering to dashboard build to automation. WHAT YOU'LL DO Partner with Business Stakeholders and Functional Teams — Work across teams to understand metrics and document clear business requirements for BI analyses, reports, and dashboards. Use AI tools (e.g., Claude, ChatGPT, Copilot) to speed up requirement gathering, summarize stakeholder inputs, and draft documentation. Ensure solutions address stakeholder needs while maintaining strong alignment with organizational priorities. Design Interactive Data Visualizations, AI-Enhanced — Build interactive, visually impactful dashboards using Tableau, enhanced with AI-powered insights (trend detection, anomaly flags, natural language summaries). Efficiently source, structure, and process large datasets using Snowflake / Snowflake Cortex, using AI/scripting to speed up data prep. Design dashboards that surface AI-generated insights alongside standard metrics, enabling stakeholders to make data-driven decisions. Drive BI Process Automation with AI — Automate and scale BI workflows using Python, SQL, and AI-assisted coding tools (e.g., Copilot, Claude Code) to write, debug, and optimize scripts faster. Explore agentic workflows to reduce man

MongoDB seeks an experienced Senior Software Engineer to help level up IT and play a key role in building a new engineering team. This team works alongside the Internal Engineering department to build enterprise-grade software that enables coworkers to be more effective and efficient. As a Senior Software Engineer, you’ll take ownership of critical internal tools and platforms, drive technical decisions, and contribute at a high level to systems that support essential workflows across the organization. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Position Expectations: Own the implementation and long-term maintenance of internal tools and platforms Lead technical design discussions and contribute to architectural decisions Write high-quality, maintainable code while setting a strong engineering example for the team Identify and proactively address technical debt, reliability risks, and scalability concerns Collaborate with engineers, product partners, and other stakeholders to prioritize and deliver high-impact work Success Measures: In three months, demonstrate strong ownership of one or more internal systems and contribute significantly to ongoing initiatives In three months, independently deliver meaningful improvements that reduce manual effort or operational friction In six months, have driven technical improvements or new tooling that measurably improves internal engineering efficiency, reliability, or velocity Our ideal candidate: Has 6+ years of professional software engineering experience Deep experience with at least one modern programming language (Python, Go, Rust, etc.) Strong technical judgment and the ability to independently solve complex engineering problems Excellent communication skills and comfort collaborating across teams and disciplines Comfortable working with modern infrastructure and delivery systems, including containerized applications, Kubernetes, and CI/CD tooling (e.g., Drone.io or simil

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. At Micron, we're not just designing chips. We're building the physical architecture that powers artificial intelligence, accelerates cloud computing, enables autonomous vehicles, and connects the world through mobile and edge devices. Every breakthrough in AI — from large language models to next-generation data centers — runs on memory. And every bit of that memory lives inside a package that someone like you designs! We're looking for a Senior Package Design Engineer who is passionate about sadvanced semiconductor packaging and ready to lead at the intersection of silicon, system, and scale. This is a high-impact, highly visible role where you'll work across the full product lifecycle — from early-stage co-design with silicon teams all the way to High Volume Manufacturing (HVM). If you thrive where precision meets innovation, where your decisions shape products reaching millions of users worldwide, and where your expertise directly influences how the AI era unfolds — this role is for you! Responsibilites: Lead Co-Design from Silicon to System - Partner with silicon design, Business Units, customers, and package architecture teams to define new product concepts from the earliest stages of chip development - Optimize die floorplans, interconnection schemes, and package architectures — from concept to HVM - Drive trade-off studies and architecture decisions for advanced DRAM products targeting AI/D

About the Team DoorDash's mission is to grow and empower local economies. By building intelligent, last-mile delivery technology for local cities, DoorDash connects people with the local businesses they care about — helping grow businesses and the communities that support those businesses. To further this mission, DoorDash is growing our award-winning Creative Studio, Superette. We’re populated by diverse, eclectic talent that inspires and creates. We take risks, challenge each other, and inspire new ways of thinking. We're here to create pivotal work that we, our partners, and the entire DoorDash community can be immensely proud of. We’re here to do the best work of our lives. About the Role We’re looking for a Sr. Designer to help build and champion a new growth function within Superette, the Creative Studio at DoorDash. You will oversee the development of world-class design that drives conversion for the business across various channels and elevates our established Design Language System. You’ll report into the Head of Design of the Superette team within our Marketing organization. You’re excited about this opportunity because you will… Drive creative for Canada, partnering closely with Growth and Co-Marketing to accelerate testing velocity and turn insight into high-performing assets that support acquisition efficiency and sustained growth. Design and iterate performance creative across channels (email, display, social media, paid search, in-app, etc.), contributing to Canada's refresh cadence. Design for A/B testing environments to optimize creative assets for maximum engagement and conversion rates. Contribute to repeatable systems and modular asset frameworks that increase output without adding production drag — enabling faster cycles and smarter experimentation across the Canada market. Translate data insights and user feedback into actionable design strategies to enhance user engagement. Work closely with product, marketing, and brand teams to ensure

The Data Engineering team’s mission is to ensure high-quality data to enable data-informed decision-making across Asana. You will build data artifacts that are leveraged by a wide range of stakeholders in the marketing domain, and create frameworks and tooling used by all data and analytics engineering teams. In this role, you will also partner both with business stakeholders and with the Data Infrastructure team. This role is based in our Warsaw 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 your recruiter can share more about the in-office requirements. We offer a Contract of Employment (UoP) for our employees in Poland. What you’ll achieve Design, implement and scale end-to-end data products that support growing data processing and analytical needs. Influence best practices in Databricks and cloud-based data engineering, driving innovation and adoption across teams. Leverage AI to build self-serve tools and accelerate Data/GTM workflows. Establish trust and strong relationships across business and technical teams, ensuring alignment on data strategy and execution. Implement systems that guarantee data quality, governance, and availability. About you 3+ years of hands-on experience in Data Engineering or Software Engineering. Degree in computer science, engineering or equivalent technical field experience. Proficient in cloud-based data processing and storage technologies like Databricks, Spark, Airflow. Fluent in SQL and proficient in at least one modern programming language (e.g., Python, Scala, Java). Proactive self-starter with a proven ability to identify opportunities, propose innovative solutions, and execute them effectively. Excellent communication skills, with the ability to clearly articulate complex technical concepts to non-technical stakeholders. Demonst

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 We’re hiring a highly influential product analytics leader who can turn ambiguous questions into sharp insight, scalable measurement, and recommendations that directly shape what we build. This person will partner closely with Product, Engineering, Design, and Growth to raise the bar on decision quality and establish a more AI-native analytics operating model. Mission Drive the product insight agenda by helping ClickUp make faster, smarter product decisions through rigorous analysis, strong product judgment, and AI-enabled analytics workflows. What You'll Do Own the product analytics agenda across product usage, activation, feature adoption, retention, and expansion, and translate open-ended business questions into structured analyses and clear recommendations Partner with Product, Engineering, and Design to define success metrics early, improve instrumentation quality, and ensure important product surfaces are measurable from launch Build reusable analysis frameworks, semantic layers, metric definitions, and self-serve resources that help product teams answer routine questions faster and more consistently Apply AI-first methods across the analytics workflow, using large language models, coding agents, and automation for tasks like query drafting, QA, validation, documentation, and first-pass synthesis while keeping human judgment at the center of final recommendations Design and interpret experiments, observational analyses, and trend investigations, including situations where data is incomplete or traditional experimentation is not feasible Surface meaningful patterns in behavioral, subscription, and