Applications Support Senior Analyst Assistant Vice President 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 Principal Software Engineer. About the job This position is needed to lead the planning, design, development, and testing of large-scale software systems and new product capabilities, including cloud and internet-facing services. You’ll set technical direction, drive delivery using modern engineering practices, and ensure what we ship is secure, compliant, and production-ready. You’ll partner closely with product and engineering teams to turn requirements into reliable, high-quality software. Responsibilities In this role, you’ll: Lead architecture and system design for complex, distributed software systems; guide teams toward scalable, maintainable solutions. Design, implement, and review high-quality code for core services, APIs, platforms, and/or user-facing applications. Translate business goals into technical roadmaps, identify tradeoffs, and align stakeholders on solution direction. Improve system resiliency, laten

The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB. We are building a comprehensive, SaaS-like platform, encompassing both the "brain" (multi-agent reasoning and orchestration) and the "hands" (the deployment platform and modernization toolset). This solution requires a robust platform foundation and infrastructure designed for a "build once, run anywhere" model, ensuring seamless operation regardless of a client's security or network constraints. A key challenge is balancing the need to tune our tools for each customer's unique tech stack and restrictive environments with making them easily extensible and scalable for common application modernization challenges. We seek an engineering leader for this high-visibility initiative. This role requires defining the high-level strategy and technical direction across all AMP engineering pillars, leading the execution of solving uniquely complex application modernization puzzles, and delivering an enterprise-grade product. The leader will minimize deployment friction, meet customer compliance requirements, and help shape the future of how global enterprises leverage GenAI. The ideal candidate is a hands-on technical leader who excels at leveraging GenAI capabilities, architecting complex distributed systems, and designing the orchestration agents necessary to reliably and fluidly run the entire software development lifecycle. This role will be based in North America's West Coast (PST), and offers a hybrid working model. The ideal candidate for this role will have 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure Deep experience in building data warehouses and core components for data processing systems Have experience in using GenAI in building comple

eClinical Solutions is a global leader in clinical data intelligence, delivering the elluminate® Clinical Data Cloud® — an AI-powered platform driving agentic data review, SDTM automation, and RBQM for 18 of the top 50 pharmaceutical companies worldwide. As part of our eNOVA AI-First transformation, we are embedding AI across every pillar of clinical development and enterprise operations — compressing cycle times, improving data quality, and redefining how work gets done. As we scale our AI capabilities, we are building a high-impact, hands-on AI engineering function focused on delivering real, production-grade automation across the enterprise. You will make an impact: The Principal AI Engineer – Automation & AI is a hands-on technical leader responsible for designing, building, and deploying AI-powered automation solutions across eClinical Solutions. This role is builder-first (70–80% hands-on development) and operates within a small, high-output team (2–4 engineers). You will work directly with the CTAO and business leaders to identify high-value use cases and rapidly translate them into working AI systems in production. This is not a program management or oversight role. You are expected to build, ship, and iterate continuously, leveraging modern AI tooling and agentic frameworks to deliver measurable impact. Accelerate your skills and career within a fast-growing company while impacting the future of healthcare. Your day to day: Building & Shipping AI Systems Design and deploy agentic AI workflows and automation solutions across enterprise functions including R&D, Engineering, Professional Services, IT, Finance, Sales, and Marketing Build production-grade systems such as: Multi-agent workflows RAG-based applications Document intelligence and summarization pipelines Workflow and process automation solutions Use modern AI tools and frameworks including: Codex, Claude Code, Gemini, NotebookLM LangChain, LangGraph, LlamaIndex (or equivalent

The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB. We are building a comprehensive, SaaS-like platform, encompassing both the "brain" (multi-agent reasoning and orchestration) and the "hands" (the deployment platform and modernization toolset). This solution requires a robust platform foundation and infrastructure designed for a "build once, run anywhere" model, ensuring seamless operation regardless of a client's security or network constraints. A key challenge is balancing the need to tune our tools for each customer's unique tech stack and restrictive environments with making them easily extensible and scalable for common application modernization challenges. We seek an engineering leader for this high-visibility initiative. This role requires defining the high-level strategy and technical direction across all AMP engineering pillars, leading the execution of solving uniquely complex application modernization puzzles, and delivering an enterprise-grade product. The leader will minimize deployment friction, meet customer compliance requirements, and help shape the future of how global enterprises leverage GenAI. The ideal candidate is a hands-on technical leader who excels at leveraging GenAI capabilities, architecting complex distributed systems, and designing the orchestration agents necessary to reliably and fluidly run the entire software development lifecycle. This role will be based in North America's West Coast (PST), and offers a hybrid working model. The ideal candidate for this role will have 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure Deep experience in building data warehouses and core components for data processing systems Have experience in using GenAI in building comple

This is a test job created for system validation and integration testing purposes. The role simulates a Software Engineer position responsible for designing, developing, and maintaining scalable applications. List 1 Person should take ownership

P-1526 We are building a pipeline of exceptional Business Development talent for anticipated future hiring across our AMER organization. While this posting may not correspond to an immediate open vacancy, we expect continued growth in this area and welcome applications from candidates interested in future opportunities with our team. Qualified applicants will be considered as positions become available. The impact you will have: Partner with the wider sales team to develop territory strategy, build pipeline, and drive adoption Helping to Identify potential Databricks use cases to help grow consumption within customer/prospect accounts Self-starter, eager to learn and develop on solution selling, Big Data & AI Problem solver, strong communicator, and ability to learn technical sales Be customer-centric. Provide a great customer experience for Databricks’ prospective customers Maintain active inbound and outbound communications with prospects using creative follow-up, including personalized email, cold calling, and social selling What we look for: Bachelor's Degree required 2+ years of sales or business development experience Ability to understand technical concepts and a genuine enthusiasm for technology Determination and courage to succeed and lean in to build the next best enterprise software company Consistent, measurable over-achievement in past experiences Curiosity and hunger to learn and stay up-to-date about the big data/AI industry Desire to build a career in technology sales A high degree of ownership and grit Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant ce

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Marketplace, Growth, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants modern ML utilizing peta-byte scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business. If you are a critical thinker with experience in machine learning workflows and LLMs, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you. We are seeking a Senior Machine Learning Engineer to join the Rider Applied AI team and lead the design, development, and deployment of state-of-the-art machine learning and artificial intelligence systems. This role requires a strategic thinker who can balance high-level system architecture with hands-on technical implementation. You will collaborate across teams to shape the future of ride-sharing by leveraging AI, Machine learning and Data science. Responsibilities: Model Development & Research: Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions. System Design: Architect scalable, reliable ML pipelines that integrate seamlessly with existing backend systems. Innovation & Applied Research: Stay ahead of the curve by exploring emerging algorithms, technologies (such as LLMs and LLM-based applications), and frameworks — critically eva

The Product Solutions Architecture (PSA) team acts as a technical multiplier across Datadog. PSAs are domain experts who partner with Field teams on complex customer use cases across pre- and post-sales engagements and scale their impact by producing reusable collateral, including reference architectures, technical guides, and enablement assets. By feeding real-world customer insights back to Datadog Product teams, PSAs help influence product roadmaps while accelerating adoption, usage, and long-term customer success. Datadog’s LLM Observability product enables organizations to monitor, troubleshoot, and optimize large-scale LLM-powered applications with confidence, while meeting requirements around data privacy, compliance, and cost management. As a Product Solutions Architect, you will partner closely with Datadog customers and the LLM Observability product team to design architectures, implement best practices, and drive adoption of LLM observability across customer environments. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Serve as the in-house subject matter expert for Datadog’s LLM Observability product Partner with Field teams to provide hands-on technical and architectural guidance to enterprise customers adopting LLM Observability Create high-impact technical collateral, including reference architectures, technical guides, cookbooks, and documentation to enable Field teams and the broader customer community Build proofs of concept and small-scale deployments to validate solutions and reproduce real-world customer environments Act as a trusted advisor to Product Management by delivering actionable feedback informed by real-world field experience Who You Are: You bring a strong software engineering foundation, with hands-on experience bu

Position Overview: Diligent is looking for a talented QA Analyst to improve the quality of Diligent products. The QA Analyst is part of a cross-functional agile team and involved in every step of the software testing life cycle, from planning to releasing the product. Key Responsibilities Demonstrates entry level technical capabilities Ability to complete smaller stories independently, more complex ones with guidance from senior members of the team Curious and high potential for learning and growing as an engineer. Understand the process and keep the Flow healthy. Understands specifications, can draw up test scenarios, create regression test cases and updates test cases as needed. Executes test cases and analyses test results. Interrogating failed scenarios and accurately record defects following them through to resolution. Use AI tools to enhance productivity: Use AI tools to automatically generate test scenarios Speed up the creation of edge case scenarios that might be overlooked manually. Use AI to query test results, logs, or bug databases using natural language Automatically generate or update QA documentation Required Experience/Skills 0-3 years of experience in Software Testing, preferably testing of Web applications. Experience in working with bug-tracking systems, and version control systems. Knowledge of testing methods and technologies, understanding of formal software development processes (SDLC) Flexible analytical and algorithmic thinking, desire for self-development, persistence in finding solutions, and achieving goals. Awareness of modern AI-enhanced development tools (e.g., GitHub Copilot, ChatGPT, Cody). Preferred Experience/Skills Basic programming or scripting skills. Automation testing experience / Desire to learn. Experience with CI/CD Can-do attitude ISTQB certification About Us Diligent is the AI leader in governance, risk and compliance (GR

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role: As a Solution Architect in the Field Engineering team, you will span both technical pre‑sales and post‑sales, serving as a trusted advisor to our enterprise customers throughout their lifecycle. In pre‑sales, you will qualify technical fit, design future‑state architectures, run evaluations, and demonstrate how Vercel unlocks measurable business outcomes. Post-sales, you will act as a technical quarterback, helping customers successfully adopt and standardize on Vercel by aligning the right resources at the right time. You will guide architecture and implementation decisions, identify when to engage Professional Services or Developer Success, and work across Product and Engineering to unblock customers and drive long-term success for critical AI and Web workloads. If you’re based within commuting distance of our London or Berlin office, the role includes in-office anchor days. What You Will Do Partner with Sales to lead technical discovery, qualify customer use cases, and shape solution strategy for key opportunities. Design target architectures for modern Agentic workflows, and AI and web applications on Vercel, including frontends, APIs, data and edge services, and integrations with headless and composable ecosystems (CMS, commerce, payments, media, analytics). Create and deliver tailored demos, technical presentations, and workshops that clearly articulate Vercel’s value and differentiate our platform. Own and run proofs of concept and pilots end‑to‑end: define success criteria, guide implementation, remove technical block

We are seeking a Software Engineer to join our growing Gurugram Products & Technology team to develop and expand core parts of a new platform we are building to make it easier for customers to build AI applications using MongoDB. As a Software Engineer on this new team, you will be responsible for developing cutting edge technologies related to enabling deployment at scale of AI applications. You will take on challenging, high-visibility projects that improve and enhance the performance, scalability, and reliability of the distributed systems infrastructure for this new product. MongoDB engineering teams pride themselves on building high-quality software and living MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Position Expectations Work closely with research, product management, product engineering, product design, peers as well as other teams within the company to implement the first version and future evolution of the service Design, build and deliver well-tested core pieces of the platform in collaboration with other vested parties Contribute to shaping architecture, code reviews and development practices, developer experience as the teams and product grow Mentor fellow engineers and assume ownership and accountability of projects Qualifications Strong background in building core components for high scale compute and data distributed systems 3+ years experience of building distributed systems, and/or foundational cloud services at scale and an interest in working with Python, Go and Java Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational materials of computer science and maintaining distributed and/or highly concurrent software systems in large, long-

We are seeking a Senior Software Engineer to join our growing Gurugram Products & Technology team to provide technical direction, direct architecture, and implement core parts of a new platform we are building to make it easier for customers to build AI applications using MongoDB. As a Senior Software Engineer on this new team, you will be responsible for developing cutting edge technologies related to enabling deployment at scale of AI applications. You will take on challenging, high-visibility projects that improve and enhance the performance, scalability, and reliability of the distributed systems infrastructure for this new product. MongoDB engineering teams pride themselves on building high-quality software and living MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Position Expectations Work closely with research, product management, product engineering, product design, peers as well as other teams within the company to define the first version and future evolution of the service Design, build and deliver well-tested core pieces of the platform in collaboration with other vested parties Contribute to shaping architecture, code reviews and development practices, developer experience as the teams and product grow Mentor fellow engineers and assume ownership and accountability of projects Qualifications Strong background in building core components for high scale compute and data distributed systems 5+ years experience of building distributed systems, and/or foundational cloud services at scale and an interest in working with Python, Go and Java Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational materials of computer science and maintaining distributed a

We are seeking a Staff Engineer to join our growing Gurugram Products & Technology team to provide technical direction, direct architecture, and implement core parts of a new platform we are building to make it easier for customers to build AI applications using MongoDB. As a Staff Engineer on this new team, you will be responsible for providing technical leadership to teams developing cutting edge technologies related to enabling deployment at scale of AI applications. You will take on challenging, high-visibility projects that improve and enhance the performance, scalability, and reliability of the distributed systems infrastructure for this new product. MongoDB engineering teams pride themselves on building high-quality software and living MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Position Expectations Work closely with research, product management, product engineering, product design, peers as well as other teams within the company to define the first version and future evolution of the service Design, build and deliver well-tested core pieces of the platform in collaboration with other vested parties Contribute to shaping architecture, code reviews and development practices, developer experience as the teams and product grow Mentor fellow engineers and assume ownership and accountability of projects Qualifications Strong background in building core components for high scale compute and data distributed systems 8+ years experience of building distributed systems, and/or foundational cloud services at scale and an interest in working with Python, Go and Java Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational materials of computer science and maint

We are seeking an Engineering Lead to join our growing Gurugram Product & Technology team to provide technical direction, direct architecture, and implement core parts of a new platform we are building to make it easier for customers to build AI applications using MongoDB. As an Engineering Lead on this new team, you will be responsible for leading and growing an engineering team, taking on challenging, high-visibility projects that improve and enhance the performance, scalability, and reliability of the distributed systems infrastructure for this new product. MongoDB engineering teams pride themselves on building high-quality software and living MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Position Expectations Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement Drive the architectural vision for the platform, ensuring it runs equally well on public clouds, private cloud environments and on-premise Work with product managers, program managers, design & analytics teams and other teams to define, prioritize and deliver new features that delight our users and drive platform improvements Take responsibility for the planning and execution of major features, raise delivery risks Own the monitoring, operations, and maintenance of the systems your team develops Enable the team to operate efficiently by removing technical obstacles, coordinating with other teams on dependencies, and prioritizing the team's overall well-being Contribute to planning for organizational growth, including allocation of engineering resources, participate in hiring and assignment of projects Qualifications 8+ years of experience of building distributed systems, and/or foundational cl

MongoDB is the next-generation database that helps businesses transform their industries by harnessing the power of data. The world’s most sophisticated organizations, from ground breaking startups to the largest companies use MongoDB to build applications never before possible. We're looking for a high-energy, detail-oriented and hands-on individual to join the Revenue Team as a Senior Accountant, Technical Revenue. We are looking to speak to candidates who are based in Austin, Palo Alto or NYC for our hybrid working model and will primarily be responsible for analyzing and reviewing complex revenue transactions, providing direction on technical revenue accounting issues and articulating accounting impact to our business partners during the contract negotiation process. In addition, this role will participate in month-end and quarter-end close activities and adhoc projects. This is a great opportunity to join and grow with a strong accounting team at a high growth, enterprise software company! Team Description The Revenue team is an extremely visible, high-performing team, ultimately responsible for accurate financial reporting of revenue. This will entail performing monthly close procedures, preparing detailed write-ups of revenue arrangements and providing recommendations for accounting-related terms during negotiations of revenue contracts. Additionally, this team is also responsible for designing and maintaining controls over reporting of revenue and assisting in quarterly forecasting activities for revenue and billings. Candidate Profile Bachelor’s Degree in Accounting or related discipline; CPA a plus Team player and effective communicator with all levels of management and cross functional organizations 3+ years of progressive experience in revenue accounting and operation in the technology industry Proficient knowledge of revenue and related pronouncements (ASC 606) Experience working in a SOX-controlled environment preferred Knowledge