Enterprise Business Development Representative Dach Jobs

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Senior AI/ML Ops Engineers who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform. You Will: Designing, Developing and overseeing the strategy and architecture of scalable and reliable AI/ML Ops platforms / pipelines Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time. Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. The Opportunity Asia-Pacific is one of the fastest-moving enterprise AI markets in the world — and the buyers, competitive dynamics, and adoption patterns in the region are distinct from any other geography Smartsheet serves. Enterprises in APJ are evaluating AI capabilities with urgency, but their buying criteria, integration ecosystems, and trust frameworks differ meaningfully from those in North America or Europe. Smartsheet needs an AI product marketing leader embedded in the region who can translate our global AI narrative into locally resonant positioning that wins. As a Sr Product Marketing Manager on the AI GTM Strategy team, you will be the in-region AI product marketing partner for Smartsheet's APJ sales organization. You will own the regional activation of Smartsheet's AI narrative — including organizational intelligence, agentic workflows, and Model Context Protocol (MCP) positioning — ensuring APJ field teams can lead differentiated AI conversations with enterprise buyers across the region. This is not a generalist PMM role. You will own the intersection of AI product marketing and regional field activation across APJ, working at the pace of a rapidly evolving product surface and a field organization operating in one of the most competitive enterprise software markets globally. This remote eligible role is based in APJ and will report to the VP, AI GTM Strategy. What You Will Own AI Narrative Activation — APJ Execute the regional activation of Smartsheet's global AI narrative across APJ field teams, a

The Company Delight.ai is on a mission to build the AI workforce of tomorrow. For over a decade, we built the infrastructure behind conversations—chat, voice, video, messaging APIs—and became the #1 CPaaS platform for in-app communications. 4,000+ brands trust us. 7 billion messages flow through our platform every month. 300 million monthly active users. In December 2024, we made the full strategic pivot to AI-first customer experience. By February 2025, we’d launched our AI agent for enterprise CX—built on a decade of conversation data, now with intelligence on top. And in November 2025, we rebranded to Delight.ai. Why Digital Marketing Manager, APAC? APAC represents 33% of our qualified pipeline target for FY27. We’re building out demand generation across Korea and the broader region, and we need someone who can own it end-to-end: paid media, email, webinars, and the localization quality that makes everything land correctly in-market. We’re looking for a marketer who knows the Korean B2B landscape, moves with urgency, and uses AI tools to punch above their weight—not because it’s trendy, but because it’s how you keep pace with what this role demands. The Role You’ll own digital demand generation for Korea, working closely with the APAC Field Marketing Lead to execute paid media campaigns, email programs, and webinars—while also serving as the quality gate on localized marketing assets. This role is for marketers who think in pipelines, not just programs, and want their impact measured in revenue, not impressions. You might be this person if: You think in funnels — awareness, consideration, conversion — and you naturally ask “what does this do for pipeline?” before anyone else does You’ve run a paid media campaign that didn’t just hit delivery targets but actually moved qualified leads through the funnel You use AI tools in your daily workflow—for content drafting, campaign analysis, reporting—and you’ve figured out how to get more done without sacrificing quality

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. We are seeking a Senior Field Marketing Manager to lead enterprise-focused strategy and demand orchestration for our EMEA Sales organisation. In this role, you are a strategic partner to sales leadership and a key architect of Smartsheet’s field marketing engine. You are accountable for driving pipeline velocity, defining investment strategy, and establishing the operational rigor required to win in complex enterprise accounts. This is a role for a seasoned field marketing leader who thrives in evolving environments. You will look beyond individual tactics to build scalable marketing engagement plans that can be leveraged across the organization, ensuring Smartsheet maintains a world-class presence that resonates with sophisticated buying committees and drives measurable revenue impact. What You’ll Do Drive Segment Pipeline & Engagement: Achieve account and segment pipeline and engagement goals through targeted marketing strategies and tactics tailored to the high-priority sales segment you support. Own Segment Strategy: Align marketing investment directly to enterprise revenue targets, pipeline gaps, and regional sales priorities for your segment. Deliver Regional Event Excellence: Align and collaborate with other marketing teams such as Customer marketing, Demand events, Growth marketing, Sales development and others to create and deliver regional events and programs that meet regional pipeline, awareness, and customer cross-sell and upsell objectives. Orchestrate Sales Alignment: Establish and lead regular b

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The Role: As a Technical Program Manager within the Enterprise Data Governance team, you will drive strategic execution across our core data governance processes. Your primary focus is to protect member privacy safeguarding personal information through secure handling, processing, and storage to ensure trust, enforce compliance, and mitigate data exposure risks. You will bridge the gap between corporate data governance policy and operational engineering, leading high-visibility technical programs that secure, classify, and institutionalize data controls across key data platforms. As a leader, you will partner with engineering, the CIO organization, Legal, Privacy Compliance, and broader stakeholders to shield enterprise data frameworks while accelerating feature delivery. What you’ll do: Own the end-to-end strategy, roadmap, and execution of complex, multi-platform data privacy and data protection initiatives, driving the Privacy Rights Management (PRM) program as a primary priority. Partner with engineering and platform teams to translate abstract data governance and privacy policies into actionable technical execution. Own the requirements lifecycle by authoring comprehensive PRDs, defining functional data controls, and ensuring engineering teams have the clear technical specifications needed

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Singapore Pre-Sales Customer Engineer, Digital Native About the Role At Cloudflare, we are on a mission to help build a better Internet. As the architectural complexity of enterprise solutions scales, we are evolving how we partner with our customers. The Pre-Sales Customer Engineer (CE) represents the core driver of our technical go-to-market strategy: a trusted advisor who owns the technical relationship from the initial disc

We're looking for an experienced, strategic People Partner leader to serve as the senior People leader for our R&D organization . You'll partner directly with our CTO and CPO to shape the people strategy across Engineering, Product, Design, and Stack AI, helping one of Asana's most critical organizations evolve through growth, AI transformation, and innovation . You'll lead a high-performing team of experienced People Partners who are trusted advisors across the organization . Together, you'll shape the people strategy for R&D, while focusing on executive partnership, organizational evolution, leadership effectiveness, and long-term workforce strategy . We're looking for a leader who brings conviction, humility, and an enterprise mindset—someone who will advocate passionately for R&D while always thinking first about what's best for Asana . This role is based in our San Francisco 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 Partner directly with our CTO and CPO as a trusted advisor, shaping people strategy, organizational design, workforce planning, leadership effectiveness, and the long-term evolution of Asana's R&D organization . Lead, coach, and develop a high-performing team of two experienced People Partners, enabling them to deliver exceptional partnership while continuing to raise the bar across the R&D organization . Partner with your People Partner leadership peers across GTM, G&A, and International to continuously evolve the People Partner function, bringing an enterprise-first mindset and helping build a consistent, high-impact team . Lead organizational transformation across R&

We are looking for a Director of Engineering to lead our AI Platform organization. This group builds the foundational systems powering every AI experience across Asana. In this role, you will lead four key teams through their engineering managers: Context (search, retrieval, and knowledge extraction across the Asana Work Graph), LLM Foundations (model serving, inference infrastructure, provider strategy, and evaluation systems), and AI Efficiency (our center of excellence for cost, quality, and performance standards across all AI workloads). Collaborating with engineering managers and senior technical leaders, you will drive the end-to-end strategy, execution, and architecture that define how humans and AI work together at Asana to build trusted, reliable, high-value product workflows for enterprise customers worldwide. Your mission is to make Asana’s AI platform the most reliable, economical, and performant foundation in the industry for agentic enterprise software, giving Asana the leverage to ship AI products faster than anyone else. This role is based in our San Francisco 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 Drive Strategy & Execution Across the AI Teammates Pillar: Lead the multi-year vision and technical strategy for Asana’s AI platform, covering retrieval and agent context, model serving and inference, model portfolio strategy, and evaluation systems. Optimize AI Infrastructure Costs: Own cost-per-execution as a primary engineering metric, managing model selection, routing, open-weight versus frontier trade-offs, inference optimization, caching, and prompt efficiency to protect product margins at scale.

We're building AI Teammates: agents that work like actual users in Asana and integrated apps. They triage bugs, respond to requests, draft project briefs, conduct research, and handle complex knowledge work across your team's workflows. Unlike chatbots, Teammates are shared team resources that build memory and context across all executions. They get smarter as you and your colleagues work with them. Currently in beta with Fortune 500 customers, AI Teammates represents Asana's shift from tracking work to getting work done. We're looking for an Engineering Manager to lead the Agent Orchestration team — the team building the connections to other systems that allow Asana AI to serve the highest-value workloads. This means building the integration capabilities, agent skills, and vertical use cases that make AI Teammates extraordinarily useful across enterprise tools and workflows. You'll manage a senior team of six engineers (ICs up to L6) working at the intersection of systems integration and emerging AI capabilities to architect the foundation that lets AI agents operate seamlessly across customer environments while meeting enterprise requirements for reliability and compliance. This is a rare opportunity to be at the forefront of Agentic AI. You'll work directly with model partners, lead the core team shaping how enterprises collaborate with AI agents across their entire tool ecosystem, and drive the technical direction for one of the most impactful applied AI challenges in the industry. You'll also flex into org-level engineering leadership across the broader Asana AI group, contributing beyond your direct team. About Asana AI Asana AI is the company's number one priority. We're building the future of human/AI collaboration — going beyond chatbots to integrate AI into everyday workflows for some of the biggest companies on the planet. Asana's AI Teammates deliver a secure, multi-player, enterprise-grade agentic experience. They're transforming Asana from a place wher

We're looking for an Engineering Manager to lead the Agent Context team in NYC. This team owns how Asana's AI systems search, retrieve, and reason over the work graph the search infrastructure, dense embedding pipelines, ranking systems, and evaluation frameworks that determine whether every AI experience at Asana is trustworthy or not. Your mission is to make retrieval comprehensive, reliable, and fast at enterprise scale, positioning Asana as the coordination and memory layer for the agentic enterprise. This is a high-leverage platform role: nearly every AI product at Asana - AI Teammates, chat experiences, agentic workflows depends on the systems this team builds. You will manage a team of senior engineers in New York collaborating daily with partner teams in San Francisco and Warsaw, and work alongside a dedicated Product Manager as your direct counterpart. This role is based in our New York 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. What you'll achieve Own the technical direction and delivery of Asana's retrieval stack end to end: lexical and semantic search, dense embedding generation and backfill at scale, chunking and ranking strategies, and RAG comprehensiveness across the work graph. Build and operate the evaluation infrastructure that makes retrieval quality measurable recall/precision benchmarks, offline and online evals, and comparative testing across retrieval backends - so quality decisions are made with data, not vibes. Drive the cost, performance, and quality tradeoffs that define this space: when semantic search earns its infrastructure cost over lexical, how to hit latency targets without sacrificing recall, and how retrieval improvements compound into cheaper, faster downstream LLM calls. Set and enforce the bar for how other teams at Asana integrate with retrieval: clear ownership of embedding decisions, rollout g

As a Senior Security Engineer focused on Datadog’s Cloud SIEM product, you will help shape the future of security operations by transforming real-world security expertise into scalable detection, investigation, and response capabilities. You will develop high-impact threat detection content, improve AI-assisted security workflows, and help defenders identify and respond to threats across cloud-native and enterprise environments. Working closely with Product, Engineering, and Security Research teams, you will influence the evolution of Datadog Security products while advancing detection coverage across emerging technologies and attack surfaces. This role offers the opportunity to contribute to open source initiatives, publish security research, and help define the next generation of agentic security operations capabilities. 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: Research attacker techniques, defensive strategies, and emerging threats, translating findings into scalable security capabilities that protect customers at cloud scale. Design and improve AI-powered investigation, threat hunting, and response workflows that support Datadog’s agentic SOC capabilities. Own the lifecycle of threat detections and automated security workflows, from research and design through deployment, measurement, and continuous improvement. Develop high-fidelity detection content across cloud platforms, SaaS applications, identity systems, endpoints, networks, and other modern attack surfaces. Partner with Product, Engineering, Security Research, and customers to influence roadmap decisions and improve security outcomes across the platform. Mentor security engineers and drive improvements through automation, tooling, rapid prototyping, and data-driven optimization. Who Yo

As a Senior Security Engineer focused on Datadog’s Cloud SIEM product, you will help shape the future of security operations by transforming real-world security expertise into scalable detection, investigation, and response capabilities. You will develop high-impact threat detection content, improve AI-assisted security workflows, and help defenders identify and respond to threats across cloud-native and enterprise environments. Working closely with Product, Engineering, and Security Research teams, you will influence the evolution of Datadog Security products while advancing detection coverage across emerging technologies and attack surfaces. This role offers the opportunity to contribute to open source initiatives, publish security research, and help define the next generation of agentic security operations capabilities. 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: Research attacker techniques, defensive strategies, and emerging threats, translating findings into scalable security capabilities that protect customers at cloud scale. Design and improve AI-powered investigation, threat hunting, and response workflows that support Datadog’s agentic SOC capabilities. Own the lifecycle of threat detections and automated security workflows, from research and design through deployment, measurement, and continuous improvement. Develop high-fidelity detection content across cloud platforms, SaaS applications, identity systems, endpoints, networks, and other modern attack surfaces. Partner with Product, Engineering, Security Research, and customers to influence roadmap decisions and improve security outcomes across the platform. Mentor security engineers and drive improvements through automation, tooling, rapid prototyping, and data-driven optimization. Who Yo

Datadog (NASDAQ: DDOG) is looking for a Product Strategy and Corporate Development Lead to drive Product vision, M&A, and venture investments for Datadog. You will work directly with Datadog's founders, partnering with Datadog's global engineering and product leaders to identify and execute transactions that expand our platform into new markets. This is not a traditional Corp Dev seat. You will operate on a small, high-autonomy team where technical depth matters as much as deal execution. You can expect to focus on the EMEA landscape, which is one of the most dynamic ecosystems in enterprise software right now, and you will be at the center of it. At the same time, you'll be working with our Product and Engineering leaders based in Europe, who will depend on you to be the fabric between our NYC and Paris HQs. Together, you'll be expected to go deep and autonomously explore new areas of expansion for us. 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: (Describe role responsibilities here) Be close to our Product & Engineering leaders to discover new areas of interest and acceleration before an M&A target is even identified, and stay ahead of market trends in AI/ML, observability, security, and cloud infrastructure to inform Datadog's growth strategy Identify and evaluate M&A targets and venture investment opportunities across European markets, with a focus on AI-native and infrastructure companies Build deep relationships with founders, VCs, and accelerators across the Paris, London, and Iberian ecosystems to generate proprietary deal flow Lead end-to-end due diligence: technical product assessments, financial modeling, valuation analysis, and integration planning Partner with senior engineering and product leaders to assess techni

The Data Engineering team is responsible for building ETL pipelines that populate the Internal Data Platform, which drives analytics that help the company run more efficiently. Our team builds highly performant and scalable processes that extract massive datasets and makes those datasets available for querying in an optimal way. We are looking to speak to candidates who are based in Gurgaon for our hybrid working model. What you’ll do Guide the Data Engineering team on building highly performance ETL pipelines using Spark and other Big Data technologies Help design the architecture of our Internal Data Platform to support the implementation of a robust medallion architecture Provide thought leadership on ways to achieve infrastructure cost savings on Cloud hyperscalers Design and build AI agents that can help automate many of the common development and support tasks that the team performs Work with Security and Compliance teams to ensure that datasets have appropriate permissions and regulations in place Work with our Data Platform, and Governance sibling teams to make data scalable, consumable, and discoverable We’re looking for someone with 10+ years experience working on enterprise data lakes/warehouses 5+ years of Spark and Python experience 5+ years of direct hands-on experience working with AWS or GCP Thorough AI knowledge, particularly with codegen tools and agentic frameworks Hive, Iceberg, Glue, or other technologies that expose big data as tables Familiarity with different big data file types such as Parquet, Avro, and JSON Exposure to real-time or streaming data technologies is a plus Success Measures In 3 months, you'll have a thorough understanding of the architecture of MongoDB’s internal Data and AI ecosystem In 6 months, you'll have owned the delivery of a large project from start (scoping, design) to finish (delivery) In 12 months, you'll have designed new features, led development work, and become a go-to expert on parts of the system About MongoDB

This new team will architect the platform foundation and infrastructure that enables a "build once, run anywhere" model, ensuring our AI-powered modernisation suite operates seamlessly regardless of a client's security or network constraints. We are looking for engineers to join this high-visibility initiative, where you will solve unique distributed systems puzzles and help shape the future of how global enterprises leverage GenAI. We are looking for an experienced software engineer who thrives on solving infrastructure constraints and building enterprise facing platforms. The ideal candidate is a hands-on technical leader who can architect complex distributed systems, mentor engineers, and collaborate with product teams to deliver a platform that minimizes deployment friction and meets customers’ compliance requirements. This role can be based out of our Gurgaon office or Remotely in India. The ideal candidate for this role will have 8+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure 2+ years of experience leading, coaching, and mentoring a team of engineers to achieve high-impact results Deep experience designing distributable applications that run in air-gapped or highly restricted network environments Strong proficiency in containerization and orchestration, with the ability to design systems where the host executes containerized applications under strict security monitoring Experience building Service Host architectures that provide shared routing, proxy layers, and API gateways for multiple underlying services Experience managing persistent storage solutions (blob/file storage) within distributed systems Understanding of security-first design, specifically regarding the execution of untrusted code, fine-grain access control, and rigorous input validation Experience designing auto-update mechanisms for software that cannot directly access the public internet Curiosity,