Applications Development Sr Programmer Analyst Jobs

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Senior Manager, Machine Learning on Twilio’s Conversation Memory team. About the job This position is critical to leveraging Twilio’s massive data ecosystem and communication scale to build foundational platform capabilities for the next generation of conversational AI, specifically by owning the development of 0-to-1 platform features that empower developers to build sophisticated, context-aware customer engagement applications. This is a highly technical, hands-on role, requiring a "player-coach" mentality to actively contribute technical expertise, bridge the gap between theoretical research and production-grade experimentation, and provide strategic direction to the team, rather than being purely a people manager. The leader in this role must demonstrate a strong bias for action, establishing a high-performing engineering setup that enables rapid iteration, experimentation, and deployment of models in this 0-to-1 set

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Play an active role in hiring, mentoring and career development of other engineers Raise the bar for technical standards, performance, reliability, and operational excellence Identify areas

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Play an active role in hiring, mentoring and career development of other engineers Raise the bar for technical standards, performance, reliability, and operational excellence Identify areas

Command by Asana is a new product for R&D teams to keep delivery on track as scope shifts, give managers visibility into progress, and enable humans and agents to work from cleaner context and ship with fewer iterations. We are looking for a collaborative Engineering Manager to lead one of the teams bringing this vision to life. In this role, you will build and empower a talented team of engineers, partner cross-functionally to shape the product roadmap, establish technical foundations, and deliver a superlative user experience. 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 - Support, mentor, and grow a talented team of engineers to build a new product from the ground up. - Partner cross-functionally with Product Management, Design, and Data Science to define roadmap priorities and deliver intuitive product capabilities. - Guide architectural and technical decisions to ensure system reliability, performance, and long-term scalability. - Drive operational excellence and continuous delivery processes, enabling the team to iterate quickly and ship value continuously. - Champion accountability for key outcomes, linking your team's everyday work to Asana's broader strategic goals. About you - Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. - Experience guiding and developing software engineering teams in building scalable web applications, ideally with experience leading 0-1 product development. - Solid technical background with a deep understanding of softwar

Senior Software Engineer, Developer Infrastructure Reykjavík The Developer Infrastructure team builds the tooling and systems our Asana engineers use every day to bring their ideas to production quickly and reliably. We build and operate the software that drives Asana’s roadmap. Each day, we combine industry best practices and innovation to support this product-focused company. We’re looking for an experienced Software Engineer with a passion for developer infrastructure. You will work with a world-class team of engineers on deploying and operating existing developer tooling, and building new tools to support our global, growing development team. You will have a unique opportunity to design and develop the systems and applications that drive the Asana development experience, lead complex technical projects, and work on cross-functional initiatives to help define the future of software engineering at Asana. This role is based in our Reykjavík 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 Innovate the architecture of our development sandboxes to accelerate development iteration. Modernize our build system, tighten iteration loops, and polish frequent cycles in the developer experience. Lead complex developer infrastructure projects from technical design through implementation, rollout, and operation. Partner with engineering teams to ide

アカウントエグゼクティブ（Mid-Market担当） DatadogのMid-Market Salesチームでは、従業員数1,000～5,000名規模の企業をターゲットに、新規顧客の獲得を通じて事業成長を支えるアカウントエグゼクティブ（AE）を募集しています。 本ポジションでは、中堅〜大手企業に対する新規営業活動を戦略的にリードし、契約獲得まで一貫して担当いただきます。 当社の営業メンバーは、明確に定義されたセールスメソッドに基づき、社内ステークホルダーやパートナーエコシステムと連携しながら、顧客ごとの課題やニーズを深く理解し、Datadogのソリューション価値を的確に伝えています。Mid-Market AEとして、営業スキルをさらに磨きながら、Datadogのチームの成功に継続的に貢献できるキャリアパスが用意されています。 Datadogでは、オフィス文化を非常に大切にしています。対面での関係構築やコラボレーションが生む創造性を重視しながらも、ハイブリッドワーク環境を採用することで、一人ひとりに合った柔軟なワークライフバランスの実現を支援しています。 【業務内容】 新規ロゴ（新規顧客）獲得に特化した営業活動 交渉から技術デモに至るまで、営業サイクル全体をリード 商談の背景にあるビジネス要因を正確に把握 顧客の業務や事業構造を深く理解し、適切なアプローチを設計 CTO、エンジニアリング／ITリーダー、SRE・DevOps・DevSecOpsなどの技術系ステークホルダーへの戦略的アプローチ 複雑な組織内の複数部門にまたがるマルチスレッド営業 SDR（Sales Development Representative）、パートナー、マーケティングと連携したリード創出活動 Sales NavigatorやDemandbaseなどのツールを活用した、リアルタイム信号・リサーチに基づくモダンな営業戦略の実践 【求める人物像】 新たなテクノロジーに対する好奇心が強く、それらがビジネス成果とどう関わるかに興味がある方 新規顧客開拓（ハンティング）に実績があり、アカウントマッピングや潜在顧客へのアプローチに長けている方 パイプライン創出スキルが高く、顧客の前でも物怖じせず、自発的かつ創造的に行動できる方 出張を含む営業活動に対応可能な方（移動手段：車・電車・飛行機／最大30%） 【待遇・成長機会】 成果に応じた高い収入を実現可能 成績上位者に贈られる「President’s Club」への選出チャンス 入社時に付与されるストックオプション（RSU）および従業員持株購入制度（ESPP） 継続的なプロダクト研修、営業・技術両面のトレーニング、明確なキャリアパス 社内メンター・バディ制度によるネットワーキング支援 多様性を尊重したインクルーシブな企業文化と、社内コミュニティ（Guilds）への参加機会 グローバルで充実した福利厚生制度 ※上記の福利厚生・報酬制度は、勤務国および雇用形態により異なる場合があります。 Datadogでは、多様なバックグラウンドを持つ方々を歓迎しています。すべての要件を初日から満たしている必要はありません。 テクノロジーへの情熱があり、経験を積みたいという意欲がある方は、ぜひご応募ください。あなたの成長を全力でサポートします。 #LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at D

Join the MongoDB Server Query Execution team, and help us build a world-class distributed open-source database. Our team plays a crucial role in the performance and efficiency of MongoDB's data processing. We are responsible for building and improving the core execution engine that powers all queries, taking a logical query plan produced by the optimizer and turning it into reality. This includes developing the physical operators for data retrieval and manipulation, improving the runtime for complex analytical and transactional workloads, and owning critical components such as our new execution engine. In addition to the core server, we support the query execution needs of other major products like Atlas Streams, Atlas Search and Vector Search, and mongosync, making our work vital to the entire MongoDB ecosystem. You will be joining a globally distributed team with a significant presence in both North America and Europe. While this role is based in the NAMER region, you will regularly collaborate closely with colleagues across different time zones. We support both office-based work in our North America hubs like New York, as well as remote work. We have tons of interesting problems to solve with a direct impact on users for transactional, time-series, and analytical workloads. To meet the ever-increasing data demands of modern applications, we are actively evolving our query system; this includes strategically re-architecting and improving key components of our query execution engine. We need your help to design and build the core of a distributed, flexible schema document database. This role can be based out of one of our North America offices, such as NYC or Palo Alto, or remotely across North America. Candidate Profile 10+ years of hands-on, professional experience in query engine development or database internals Experience with building production-level code with a large user base, robust design structure and rigorous code quality Degree in Computer Science or

We’re hiring a Senior Technical Product Marketing Manager to lead positioning, messaging, and product adoption across our AI and agentic context solutions. This is a high-impact role for a technical marketer who thinks and acts like a builder. Most AI systems don't fail because the model is bad—they fail because they lack a crucial, contextual foundation. MongoDB owns a piece of nearly every step in that chain. This role requires deep technical expertise across the context stack—including VoyageAI embedding and reranking models, MCP Server, and the coding agent ecosystem (Claude Code, Cursor, GitHub Copilot, Gemini CLI, Codex, etc.)—combined with product marketing instincts to deeply understand the market and translate technical depth into crisp, differentiated messaging for distinct user and buyer personas. The ideal candidate has experience building and shipping AI-enabled products and using developer tools in their day-to-day workflows. Individuals with prior experience in technical sales, developer relations, or software development are encouraged to apply. The ideal candidate is a voracious consumer of AI research and pays close attention to shifting patterns in how software and AI applications are built and consumed. This individual is confident in communicating with technical practitioners and non-technical decision makers in one-to-few and one-to-many engagements for internal and external audiences. You will leverage your technical depth to craft clear, compelling, and highly differentiated messaging by working backward from customer requirements. We are looking to speak to candidates who are based in Dublin for our hybrid working model. What You’ll Do Drive Strategy & Execution: Act as the strategic owner for MongoDB’s context engineering portfolio—MCP Server, Agent Skills, VoyageAI, and more— aligning roadmap and go-to-market with MongoDB’s long-term business goals, in collaboration with Product Management, Engineering, Developer Relations, Partn

Join the Vector Search team and help build a cutting-edge vector database on top of MongoDB. Our team is responsible for the syntax and implementation of MongoDB's $vectorSearch aggregation, which enables approximate nearest neighbor queries over high-dimensional vectors. We are a small team with a large and rapidly growing customer base, providing engineers an opportunity to make a highly-visible, broad impact. When scaling search to billions of vectors, performance is paramount. We're looking for engineers who enjoy solving complex and open-ended problems that directly impact users' performance. This role is based in San Francisco, CA with a hybrid work model. You would get to: Implement new features within MongoDB's $search and $vectorSearch aggregation operators Work cross-functionally with Product teams to define new query and index syntax Identify and address performance bottlenecks in filter queries and nearest neighbor search Have the opportunity to lead projects and own subsystems Perform code reviews with peers, review technical designs, and mentor junior developers Ideally you will be: 3+ years of experience working on large-scale backend systems Experience writing high-performance applications in Java or another JVM language A growth mindset and the desire to learn quickly through taking on challenges, reflecting on outcomes, and incorporating feedback Passionate about optimization, code quality, and problem solving Bonus: experienced with Apache Lucene, vector databases, or high-throughput web services Success Measures In 3 months you'll have a solid high-level understanding of what our team does and how we operate You'll have contributed to the development of an existing project and completed several small improvements or bug fixes In 6 months you'll be reviewing code and project designs, and be an active participant in team meetings In 12 months you'll have a thorough understanding of the systems our team owns and have led a small project. You'll have

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and partners to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned software architects and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our field partner leaders and play a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. This role can be based remotely in the Indian region. As an ideal candidate, you will have: 5+ years of pre-sales experience with enterprise software and technical aptitude Working knowledge and ability to code with one or more modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) Working knowledge of UI development with demonstrable skills in semantic HTML, modern CSS, and TypeScript, integrated with frameworks(e.g, Vue.js , React.js , Angular.js ). Should demonstrate working knowledge of using AI agents (e.g Cursor, v0, Lovable, Windsurf) to orchestrate UI designs and interfaces. Proficient in deploying applications to the Cloud with cloud best practices(DevOps) any one cloud provider preferable AWS. Experience with benchmarking, profiling and performance tuning of Database systems 3+ years of software development experience Excellent presentation and communication skills A Bachelor’s degree or equivalent work experience As an ideal candidate, you may also have: Experience selling databases and/or deploying applications with any of the major cloud providers Experience with database progra

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and partners to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned software architects and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our field partner leaders and play a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. We are looking to speak to candidates who are based in Sao Paulo for our hybrid working model. As an ideal candidate, you will have: 8+ years of pre-sales experience with enterprise software and technical aptitude Working knowledge and ability to code with one or more modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) Experience with scalable and highly available distributed systems 2+ years of software development experience Excellent presentation and communication skills The ability to travel up to 50% A Bachelor’s degree or equivalent work experience Professional proficiency in speaking and writing Portuguese and English Professional proficiency in speaking and writing Spanish is highly preferred As an ideal candidate, you may also have: Experience selling databases and/or deploying applications with any of the major cloud providers Experience with database programming and data modelling Knowledge of modern technologies - their function and integration requirements - e.g. Spark, cloud storage/streaming, API mgmt, Kafka, serverless. A cloud provider certification A MongoDB

Join the Atlas Search team to design and develop the next generation of Semantic and Vector Search infrastructure. Atlas Search is a growing cloud service that allows users to execute complex search and vector search queries using the MongoDB Query Language. Our users can focus on relevance and data retrieval instead of the machinery needed to search data at scale. Our team is building a cloud-based distributed system responsible for the core components of search including data ingestion, performance, query language, query execution, for both relevance-based search and vector search. Our product is being adopted quickly and there are many interesting projects. This is a technical role where you will be responsible for the infrastructure and features enabling our at-scale cloud service powering vector and semantic search. We are looking to speak to candidates who are based in the San Francisco Bay Area for our hybrid working model. What You’ll Do Lead complex projects across the MongoDB ecosystem, for instance, development of a new Search deployment framework within the MongoDB managed cloud Set project level strategy, architect features, and lead projects to successful execution Identify, design, and implement features enhancing our reliability, performance, security and efficiency Perform code reviews with peers and make recommendations on how to improve our software development processes Influence and grow team members through active mentoring and leading by example What We Look For 5+ years experience in data management/search systems, ideally with a strong distributed systems and infrastructure background Experienced in the development and maintenance of concurrent, stateful services Eager to shape the technological direction of a complex system and have the ability to lead initiatives through collaboration with others Experienced in writing features, debugging and optimizing multithreaded applications written in Java Familiarity with LLM

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and partners to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned software architects and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our field partner leaders and play a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. We are looking to speak to candidates who are based in Atlanta, Austin, Dallas, Miami for our hybrid working model. As an ideal candidate, you will have: 8+ years of pre-sales experience with enterprise software and technical aptitude Working knowledge and ability to code with one or more modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) Experience with scalable and highly available distributed systems 2+ years of software development experience Excellent presentation and communication skills The ability to travel up to 50% A Bachelor’s degree or equivalent work experience Professional proficiency in speaking and writing Portuguese and English Professional proficiency in speaking and writing Spanish is highly preferred As an ideal candidate, you may also have: Experience selling databases and/or deploying applications with any of the major cloud providers Experience with database programming and data modelling Knowledge of modern technologies - their function and integration requirements - e.g. Spark, cloud storage/streaming, API mgmt, Kafka, serverless. A cloud provider cer

We like to say, “Come to MongoDB and get your Masters in Sales” where we spend 7x the industry average on rep enablement. We’re investing in ways to not only attract, hire, and develop top talent but also ensure our Account Executives are set up for long-term success on their individual career paths . Come & join our team and be at the forefront of what we believe is the perfect blend of career opportunity, innovative technology, and top-tier enablement! We are looking to speak to candidates who are based in the Bengaluru, Gurugram or Mumbai office for our hybrid working model. The Opportunity We’re looking for reps that are hungry to sell into the next up-and-coming companies in India that are disruptive within their respective industries. We have over 200M downloads and work with innovative corporate companies like Zepto, Ubuy, SonyLIV, Zomato, Canara HSBC Life and others that are leveraging our technology every single day. According to the IDC, there are over 500 million new applications being built over the next 5 years and you would be tasked with landing a high volume of those quality new logos. Primarily selling the MongoDB Atlas platform, the most advanced cloud database service on the market, you have the opportunity to directly influence MongoDB’s upward growth trajectory. Day to Day Cultivate sales through outbound prospecting and inbound leads Meeting customers in-field and closing deals Prospect into CTOs, Engineering/IT leaders, and technical end users Meet and exceed individual monthly, quarterly, and annual Quarterly targets Manage the full sales cycle for both Atlas and Professional Services Manage a sales pipeline in Salesforce and Clari while maximizing prospecting tools such as Sales Navigator, ZoomInfo, Sendoso, and Outreach Handle quote creation and order processing Collaborate with the Sales ecosystem like Marketing, Account Development, Solutions Architects, and others. What you bring to the table 5 years to 20 yea

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. We are looking for a Senior Automation Engineer to design and scale intelligent automation across Okta’s Enterprise Technology ecosystem. This role will reduce manual operational work, improve developer productivity, and accelerate the software delivery lifecycle across platforms such as Salesforce, NetSuite, AEM, Boomi, identity systems, CI/CD platforms, and other enterprise applications. The engineer will build reliable automation services, reusable integration patterns, and AI-assisted developer agents that understand source code, metadata, configuration, tickets, documentation, deployment history, and operational context. These solutions will automate release activities, identify deployment risks, reduce merge-conflict resolution effort, improve environment management, and enable safe self-service operations. The role requires a combination of software engineering, enterprise application expertise, API and integration development, CI/CD automation, security engineering, and practical experience applying AI to developer and operational workflows. The ideal candidate is comfortable moving between platform-specific technologies and building scalable, secure, platform-agnostic automation frameworks. What you'll be doing Intelligent Automation and Developer Productivity Build AI-assisted developer agents and automation services that reduce repetitive engineering and operational work. Use contextual information from Git repos