Quality System Specialist Jobs

The Behavior AI team builds the AI-based anomaly detection behind Datadog's security products. Our models learn what normal looks like across the billions of logs, events, and telemetry records flowing through the platform every second, and they flag the behavior that does not fit, on every record, in real time, at a cost that makes sense at our scale. What we build does not ship to a single feature. The same models power detection across many of Datadog's security products at once, so the work has impact well beyond any one team. Large general-purpose models are too slow and too expensive to run in that path, so we take the opposite approach: small, custom models, designed for high-throughput stream processing and optimized to run cheaply on every record. We are hiring a Senior Applied Scientist to build these models from start to finish. You will contribute to designing the architecture, training at scale, and the optimization work that takes a model from training to running efficiently on production traffic. This optimization requires a deep understanding of the constraints imposed by both the software and the hardware, together with the applied mathematics to work within them: often it comes down to finding a mathematical reformulation that fits those constraints better, and that judgment can decide whether a model reaches production at all. The work involves a number of open questions. How do you obtain most of the quality of a large model from one that is far smaller and cheap enough to run on the full stream? Where is it worth trading exactness for speed, and how do you reason about the error you accept? How do you make a small model's outputs clear enough that the detection engineers and analysts who rely on it can trust what it reports? If these are the problems you want to work on, we would like to hear from you. At Datadog, we place value in our office culture: the relationships and collaboration it builds, and the creativity it bring

Datadog is looking for an experienced Senior Account Based Marketing Manager to drive new customer acquisition and pipeline generation across the Americas (North America and LATAM), with a focus on our Commercial (SMB) segment. In this role, you will design and execute an integrated, multi-channel marketing account based-marketing strategy, spanning paid search, paid social, dedicated field programs, sponsored events, and third-party digital channels, in close partnership with sales leadership. This is a full-funnel, cross-channel mandate, with the latitude to prioritize the channels and programs that deliver the greatest impact. 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: Develop and execute a comprehensive, multi-channel marketing strategy to drive pipeline growth across the Americas, leveraging sponsored events, paid search, paid social, field-led programs, third-party digital placements, and more. Support the design and execution of 1:many, 1:few, and 1:1 ABX marketing programs for the Commercial (Small and Midsize Business) segment, combining digital tactics, such as paid social and programmatic display, with dedicated field plays, such as direct mail, to break into and expand high-value accounts. Serve as both strategist and operator for the region: help define the marketing plan and lead execution across paid media, field marketing, and event teams. Architect the operating model and playbooks for dedicated programs and partner with cross-functional marketing teams to execute dedicated programs where regional support is needed, maintaining consistent quality and cadence across the Americas. Establish the reporting and measurement framework needed to evaluate program and channel performance, refining the strategy based on results. Maintain flexi

Datadog is looking for a driven, entrepreneurial Customer Marketing Manager to join our Corporate Marketing team — a group of talented professionals responsible for sourcing, creating, and amplifying stories of customers who are achieving meaningful technology and business outcomes with Datadog. This role is designed for marketers who thrive in dynamic environments, are passionate about building genuine customer relationships, and know how to turn great stories into compelling, data-driven programs. 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: Source and track opportunities to promote customer wins by working with cross-functional partners across product marketing, partner marketing, sales, customer success, marketing operations, demand generation, and more Track and report on program performance, including participation rates, customer reception, content output, and influenced pipeline and closed deals Build a portfolio of customer advocates through online and in-person engagements to source strong stories and promotional opportunities Interview customers and product leaders — in-person and on camera — to produce customer marketing assets, like case studies, video testimonials, promotional quotes, and slides Design, deliver, and continuously optimize programs and incentive strategies that attract customers to participate in advocacy activities Lead programs that drive high-quality customer reviews to peer review sites such as Gartner Peer Insights, G2, and TrustRadius Influence how the broader team operates by modeling best practices, championing process improvements, and driving adoption of AI tools and cross-team efficiencies Who You Are: You have 4+ years of experience in customer marketing and/or advocacy for a B2B technology company

Datadog is expanding the Technical Solutions (TS) organization by seeking a customer-focused, deeply technical Distinguished Architect to join our Product Solutions Architecture (PSA) team. In this role, you will act as a technical multiplier for the world's leading AI labs and AI-native companies. You will bridge the gap between their bleeding-edge infrastructure aspirations and Datadog’s technology roadmap, ensuring our platform natively solves the unique observability challenges of training and deploying foundational models at scale. 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: Leadership : Demonstrate thought leadership in the AI/LLM space. Influence key decision makers and stakeholders by connecting technical capabilities to organizational and business impact. Advisory : Strategically partner with highly technical Founders, Heads of Infrastructure, and Research Lead peers. Guide them on best practices and emerging industry trends in the AI/LLM space. Lead high-level technical and architectural conversations around AI adoption. Presentations : Lead deep-dive architecture reviews and design engagements with customer teams and their leaders to share industry trends, best practices, and demonstrate how Datadog can support high-throughput hyper scale AI workloads. GTM : Identify emerging AI-native technology shifts and feed them directly back to Datadog Product Management. Co-create custom observability integrations and solutions alongside Product SAs to keep Datadog at the absolute forefront of the AI stack. Collaboration : Collaborate with Product Solutions Architecture (PSA), Sales, Sales Engineering and Marketing in providing high-quality technical resources to a broad audience of practitioners and economic buyers. Hiring : Assis

Datadog is looking for a data-driven Associate Growth Marketing Manager to own the day-to-day execution, strategy, and optimization of our paid LinkedIn campaigns. In this role, you’ll be responsible for scaling LinkedIn ads that drive measurable results across global markets, with a strong focus on efficiency. This is an exciting opportunity for someone who combines analytical rigor with creative instincts, thrives in a performance-driven environment, and wants to deepen their expertise in paid media within a high-growth B2B company. 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: Manage campaign setup, budget allocation, and pacing, making data-informed decisions to drive high-quality, efficient leads and strong downstream performance Own campaign performance reporting and analysis Collaborate cross-functionally to promote products, webinars, events, and content across regions on LinkedIn and other digital channels (e.g., Reddit, Meta) Continuously test new audiences, bid strategies, messaging, creative, and landing pages to increase learning velocity and performance over time Who You Are: 2+ years of hands-on, in-platform experience managing LinkedIn Ads 3+ years working in marketing, ideally in a B2B or high-growth tech environment Comfortable manipulating and analyzing large datasets in Excel/Sheets, identifying trends, and translating insights into clear recommendations Experience with A/B testing, landing page optimization, and creative iteration Strong written and presentation skills, with the ability to clearly explain analyses and recommendations to stakeholders via PowerPoint/Slides Curious, proactive, and motivated by driving results Datadog values people from all walks of life. We understand not everyone will meet all the above qualificatio

We're looking for a highly strategic, relationship-driven Startup & Venture Ecosystem Lead to build and scale MongoDB's partnerships across the Bay Area startup ecosystem. This is a highly strategic, regional leadership role focused on partnership development, pipeline growth, and execution at scale. You will be responsible for establishing MongoDB as the database of choice for high-growth, venture-backed startups by building deep, trusted relationships with venture capital firms, accelerators, and community partners, scaling from the Bay Area and across the globe. In this role, you will own the full lifecycle of MongoDB's startup ecosystem strategy, starting with mapping the Bay Area's VC, accelerator, and community landscape and prioritizing where to focus based on relevance and opportunity; developing deep, trusted relationships with the firms and partners that matter most; and then designing and running the marketing campaigns, events, and programs that build on those relationships to bring high-quality, high-potential startups into the MongoDB for Startups program. This role sits at the intersection of market strategy, relationship-building, and program execution, and requires a leader who can pair sharp prioritization with hands-on marketing delivery. We’re looking to speak with candidates based out of San Francisco, California. Position Expectations Map and prioritize the ecosystem: Develop a clear view of the Bay Area's VC, accelerator, and community landscape, and prioritize where to invest relationship and program energy based on startup quality, deal flow, and strategic fit Develop and manage VC, accelerator, and community partnerships: Build and maintain strong relationships with leading Bay Area venture capital firms, accelerators, and key startup ecosystem partners, serving as MongoDB's trusted representative and growing its visibility and influence across all three groups Create and deliver value-added marketing campaigns, events, and progra

AI agents are transforming the way developers interact with software - and databases are no exception. We're seeking a Senior Software Engineer to join our AI Interfaces team within AI Builder Experience (ABX), where you'll provide technical direction, shape architecture, and build the core products that make it seamless for developers and AI agents to work with MongoDB. Our team owns the surfaces through which humans and agents connect to MongoDB - including the MongoDB MCP Server, Agent Skills, our Intelligent Assistant Platform, and purpose-built agents. In short: if it's how an agent talks to MongoDB, we're building it. This is a new team charting new territory, and as a Senior Software Engineer here, you'll be right at the frontier - building the technologies that let AI applications and agentic workflows work seamlessly with MongoDB at scale. You'll integrate with fast-moving, often unproven technologies, make pragmatic calls in the face of ambiguity, and own high-visibility projects end to end with minimal guidance. We're looking for product-minded engineers who thrive on autonomy and take pride in shipping. MongoDB engineering teams pride themselves on building high-quality software and living our cultural values every day - we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition. This position requires participation in a 24/7 on-call rotation to ensure business continuity and incident response capabilities. This role can be based out of our Gurugram office. 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 our AI interfaces Design, build, and deliver well-tested core pieces of the platform - including the MongoDB MCP Server, Agent Skills, the Intelligent Assistant Platform, and purpose-built agents - in collaboration with othe

Senior Forward Deployed Engineers (FDE) sit at the intersection of enterprise customer environments and a fast-moving internal product. They partner directly with customers to design, build, troubleshoot, and improve production solutions, and they are ultimately accountable for helping customers get to production. This role is best suited for engineers who want to own technical outcomes end to end: understanding what a customer is trying to build, shipping the integration, and feeding learnings back into the product roadmap. This role will be based remotely in the United States (East Coast). Responsibilities Customer success Serve as the primary technical owner for customer engagements from initial discovery through production rollout Understand each customer's architecture, constraints, and definition of success, and drive toward that outcome Manage expectations, communicate risks clearly, and help customers navigate technical decisions with confidence Technical integration Build the connectors, pipelines, and supporting tooling needed to make the platform work inside real enterprise environments Write production-quality code, troubleshoot issues, and implement fixes directly in active workstreams Work effectively within customer environments that have different stacks, infrastructure, and integration constraints Product feedback loop Capture product feedback with precision, including logs, reproduction steps, and a clear proposed path forward Use customer engagements to identify product gaps, surface recurring patterns, and help improve the product roadmap Document technical decisions and tradeoffs clearly so product and engineering teams can extend the work Workstream collaboration Partner closely with product and engineering teams to help turn field patterns into reusable product capabilities Contribute directly in focused workstreams by helping drive technical design, implementation, and delivery Make sound engine

Senior Forward Deployed Engineers (FDE) sit at the intersection of enterprise customer environments and a fast-moving internal product. They partner directly with customers to design, build, troubleshoot, and improve production solutions, and they are ultimately accountable for helping customers get to production. This role is best suited for engineers who want to own technical outcomes end to end: understanding what a customer is trying to build, shipping the integration, and feeding learnings back into the product roadmap. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Responsibilities Customer success Serve as the primary technical owner for customer engagements from initial discovery through production rollout Understand each customer's architecture, constraints, and definition of success, and drive toward that outcome Manage expectations, communicate risks clearly, and help customers navigate technical decisions with confidence Technical integration Build the connectors, pipelines, and supporting tooling needed to make the platform work inside real enterprise environments Write production-quality code, troubleshoot issues, and implement fixes directly in active workstreams Work effectively within customer environments that have different stacks, infrastructure, and integration constraints Product feedback loop Capture product feedback with precision, including logs, reproduction steps, and a clear proposed path forward Use customer engagements to identify product gaps, surface recurring patterns, and help improve the product roadmap Document technical decisions and tradeoffs clearly so product and engineering teams can extend the work Workstream collaboration Partner closely with product and engineering teams to help turn field patterns into reusable product capabilities Contribute directly in focused workstreams by helping drive technical design, implementation, and delivery Make sound engineering decisions under

We’re looking for a driven, high-caliber Enterprise Account Executive to help MongoDB accelerate growth across the Middle East Private market, with a primary focus across the UAE, the broader Gulf region, and selected strategic accounts in the Kingdom of Saudi Arabia. This role is focused on new business acquisition and expansion within enterprise private-sector accounts. You will be responsible for developing and executing a territory strategy, building senior relationships across target organizations, and driving net-new logo acquisition as well as long-term revenue growth. You will work in close partnership with Solutions Architects, Professional Services, partner teams, and sales leadership to help customers modernize applications, data platforms, and AI initiatives with MongoDB. We are looking to speak to candidates who are based in Dubai for our hybrid working model who can operate effectively across a diverse regional market and engage confidently with both business and technical stakeholders. About the Sales Culture MongoDB is always developing and innovating, not only in our technology, but also in how we go to market. Our sales leadership is committed to building one of the best sales organizations in the industry: one that inspires, enables, and develops top talent. As a member of the MongoDB Sales team, you will have access to a large and rapidly evolving market, world-class enablement, and the opportunity to learn from some of the most successful sales leaders in software. We equip our teams to win, and we value the feedback, initiative, and ownership that help us continue to “ Think Big and Go Far .” What you will be doing Proactively build, manage, and close a high-quality pipeline across the Middle East Private territory Develop and execute a territory plan focused on enterprise private-sector organizations in Dubai, the Gulf, and selected accounts in Saudi Arabia Prospect strategically into CIOs, CTOs, CDOs, Heads of Engineering, IT leaders, a

An Account Development Representative at MongoDB is the starting point for building a serious career in technology sales. This role is the foundation of our sales organization. You will partner closely with Account Executives to identify new opportunities within strategic accounts, helping drive meaningful pipeline and long-term customer growth. From day one, you will learn and apply structured sales frameworks including MEDDIC qualification, account mapping, multi-threading strategies, and value-based discovery. You will develop technical fluency across modern application architectures, cloud infrastructure, and database technologies, gaining real exposure to how complex software solutions are positioned and sold. ADRs at MongoDB do more than generate meetings. They help shape early deal strategy, apply MEDDIC principles to qualify real business problems, and stay engaged through the scoping phase to maintain strong deal momentum We invest heavily in structured onboarding, ongoing enablement, and consistent 1:1 coaching. Our ADR team is one of the primary talent pipelines into Account Executive and other revenue roles across MongoDB, with clear, performance-based progression paths. We believe skill development accelerates when teams collaborate in person. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. What you’ll do Own outbound prospecting within a defined set of strategic accounts, working closely with your aligned Account Executives and Sales stakeholders Research organizations to uncover new initiatives and opportunities where MongoDB can add value Execute thoughtful outbound outreach across phone, email, and social channels to generate qualified pipeline Lead structured discovery conversations to understand business priorities and technical environments Apply MEDDIC qualification principles to ensure high-quality opportunities before advancing them Stay engaged through the early stages of t

We are seeking a visionary Answer Engine Optimization Lead to spearhead our Large Language Model (LLM) and AI platform visibility strategy (e.g., ChatGPT, Claude, Google AI Overviews, Perplexity). Reporting into the Director of Marketing Acquisition, this role will be responsible for expanding our brand authority, maximizing developer mindshare, and driving new customer acquisition by optimizing MongoDB’s presence within LLM and answer engine responses. If you thrive at the intersection of technical content architecture, structured data, community advocacy, and AI-era discovery—and you want to lead a team on the front lines of defining the next wave of search experience optimization—this is a critical leadership role designed to accelerate target audience awareness and Product-Led Growth (PLG). This role will be based remotely in the United States. Key Responsibilities Define & Execute AEO Strategy: Design and own MongoDB’s global LLM visibility growth initiatives. Develop and execute strategies focused on increasing the citation share, sentiment, and accuracy of MongoDB across various technical developer audiences and agentic AI models Team Leadership: Oversee and scale a high-performing team of SEO, AEO, and content optimization professionals, fostering a culture of rapid experimentation in the AI search space Technical Information Architecture: Collaborate with Product, Engineering, and Documentation teams to optimize MongoDB’s digital footprint for LLM crawlers. Impose best practices for structured data, schema markup, knowledge graphs, and API/documentation accessibility to facilitate flawless RAG (Retrieval-Augmented Generation) ingestion UGC Response & Community Advocacy: Coordinate a multi-team framework (including Developer Relations and Support) to ensure timely, high-quality, and LLM-friendly insights are present on critical developer watering holes (e.g., Reddit, Stack Overflow, GitHub, Wikipedia). Leverage "build in public" tactics to organicall

An Account Development Representative at MongoDB is the starting point for building a serious career in technology sales. This role is the foundation of our sales organization. You will partner closely with Account Executives to identify new opportunities within strategic accounts, helping drive meaningful pipeline and long-term customer growth. From day one, you will learn and apply structured sales frameworks including MEDDIC qualification, account mapping, multi-threading strategies, and value-based discovery. You will develop technical fluency across modern application architectures, cloud infrastructure, and database technologies, gaining real exposure to how complex software solutions are positioned and sold. We believe skill development accelerates when teams collaborate in person. We are looking to speak to candidates who are based in Kuala Lumpur, Malaysia for our hybrid working model What you’ll do Own outbound prospecting within a defined set of strategic accounts, working closely with your aligned Account Executives and Sales stakeholders Research organizations to uncover new initiatives and opportunities where MongoDB can add value Execute thoughtful outbound outreach across phone, email, and social channels to generate qualified pipeline Lead structured discovery conversations to understand business priorities and technical environments Apply MEDDIC qualification principles to ensure high-quality opportunities before advancing them Stay engaged through the early stages of the sales cycle, contributing to strong handoffs and clean deal progression Maintain rigorous pipeline hygiene in Salesforce and sales engagement tools Consistently exceed monthly and quarterly opportunity targets We’re looking for someone with Has a track record of setting goals and exceeding them in competitive or performance-driven environments Communicates clearly and confidently in Thai (fluent) Takes ownership of outcomes and follows through on commitments

An Account Development Representative at MongoDB is the starting point for building a serious career in technology sales. This role is the foundation of our sales organization. You will partner closely with Account Executives to identify new opportunities within strategic accounts, helping drive meaningful pipeline and long-term customer growth. From day one, you will learn and apply structured sales frameworks including MEDDIC qualification, account mapping, multi-threading strategies, and value-based discovery. You will develop technical fluency across modern application architectures, cloud infrastructure, and database technologies, gaining real exposure to how complex software solutions are positioned and sold. ADRs at MongoDB do more than generate meetings. They help shape early deal strategy, apply MEDDIC principles to qualify real business problems, and stay engaged through the scoping phase to maintain strong deal momentum We invest heavily in structured onboarding, ongoing enablement, and consistent 1:1 coaching. Our ADR team is one of the primary talent pipelines into Account Executive and other revenue roles across MongoDB, with clear, performance-based progression paths. We believe skill development accelerates when teams collaborate in person. We are looking to speak to candidates who are based in Bengaluru for our hybrid working model. What you’ll do Own outbound prospecting within a defined set of strategic accounts, working closely with your aligned Account Executives and Sales stakeholders Research organizations to uncover new initiatives and opportunities where MongoDB can add value Execute thoughtful outbound outreach across phone, email, and social channels to generate qualified pipeline Lead structured discovery conversations to understand business priorities and technical environments Apply MEDDIC qualification principles to ensure high-quality opportunities before advancing them Stay engaged through the early stages of

AI frameworks like LangChain, LlamaIndex, and n8n are quickly becoming the default way developers build with AI — and MongoDB wants to be the data platform that shows up everywhere they build. As part of the AI Builders Experience org at MongoDB, we’re forming a brand new engineering team to make that happen, and we're looking for the founding Engineering Manager to hire the team, set the technical direction, and ship integrations into some of the fastest-moving open-source ecosystems in tech. In this role, you'll be close enough to the code to jump into exploratory work yourself while also building the team, process, and operational rigor to keep a growing integration portfolio healthy long-term. The new team will work mostly in Python and TypeScript while collaborating closely with client library teams and other engineering groups across MongoDB that deliver the underlying driver, platform, and product capabilities needed to support these integrations well. You’ll collaborate closely and move quickly with product, partners, field teams, the developer community, and open source project maintainers to ship where demand is real, deepen investment where adoption proves out, and evolve the portfolio over time as it becomes a critical part of MongoDB’s future in AI. MongoDB engineering teams pride themselves on building high-quality software and living our values every day. We value intellectual curiosity, intellectual honesty, customer empathy, 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 recruiting to hire a team of Python and TypeScript engineers who will build and own MongoDB integrations across a broad AI framework ecosystem that includes technologies like Langchain, LangGraph, LlamaIndex, n8n, and Mastra Execute effectively in a fast-moving environment where priorities may shif