The Internal Data team is on a mission to power data-informed decisions and applications across MongoDB, oriented around the business areas of Customer, Product, Finance, and Employee. We build and scale the data products MongoDB employees rely on every day, including data pipelines, datasets, analytics, APIs, ML models, and frameworks that form the backbone of our internal data ecosystem. We treat data as a product. That means applying the same rigor, user focus, and outcome orientation to internal data that MongoDB brings to its external-facing platform and products. As MongoDB scales, our financial data footprint has grown exponentially. You will inherit the challenge of providing the focus and product management needed to transform complex, high-volume consumption data into clean, compliant, and near-real-time financial products; moving our Finance teams away from manual workflows and toward automated, AI-driven forecasting. We are looking to speak to candidates who are based in NYC, Austin, Palo Alto, or San Francisco for our hybrid working model. What You'll Do Drive the end-to-end product vision, strategy, and roadmap for critical data products that power company-wide financial planning, forecasting, spend efficiency, and operational rigor Navigate ambiguity and shape requirements by partnering deeply with Finance leadership to unpack complex, unformed business problems. Proactively translate high-level financial strategies into concrete data requirements, technical frameworks, and user stories Lead cross-functional squads to design, build, and deploy robust pipelines, datasets, dashboards, APIs, and frameworks. Champion underlying data management tools that serve as the foundational engine for AI and BI across the enterprise Act as the ultimate advocate for the voice of the data consumer. Proactively audit user workflows, enforce data trust, and relentlessly push for the right strategic technical solutions over temporary, ad-hoc fixes Ruthlessly prioritize t
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About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About The Role: Our Site Reliability Engineering team is growing, and we are looking for a highly experienced Staff Site Reliability Engineer to help shape the future of reliability, scalability, and performance at AlphaSense. This is a hands-on, high-impact role where you will architect core reliability platforms, lead by example in incident response, and drive cultural adoption of SRE best practices across our global engineering organization. Our mission is to engineer our platform to the reliability standards of mission-critical systems, targeting 99.99% uptime, while continuously enhancing our systems and processes. This role is key to that mission and goes beyond traditional system maintenance; it’s about pioneering the platforms, practices, and culture that enable engineering to scale effectively. You will act as a force multiplier, mentoring fello
About the role 우리는 비즈니스를 성장시키고 관리하는 데 열정적이고 에너지가 넘치는 성실한 분을 찾고 있습니다. Enterprise Account Executive 역할은 맡은 고객 내에서 세일즈 전략을 수립하고 실행하여 매출 성장을 이루는 데 중점을 둡니다. 우리의 하이브리드 업무 방침에 따라 대한민국 서울 오피스로 출퇴근이 가능하신 분을 모시고자 합니다. (서울시 강남구 테헤란로 518) What you will be doing 적극적으로 세일즈 파이프라인을 찾고, 검증하며, 마감합니다. CTO, 엔지니어링 및 IT 리더, 기술 최종 사용자에게 전략적으로 접근합니다. 강력하고 효과적인 관계를 구축하여 성장 기회를 창출합니다. 솔루션 아키텍트 및 프로페셔널 서비스 팀과 협력하여 고객 만족을 달성합니다. 엔터프라이즈 생태계 파트너 영업 조직 및 채널 파트너와 긴밀히 협력하여 딜 규모를 극대화합니다. 잘 짜여진 세일즈 부트캠프, 고급 세일즈 트레이닝 및 리더십 개발 프로그램을 포함한 세일즈 교육에 참여합니다. What you bring to the table 빠르게 변화하고 경쟁이 치열한 마켓에서 5년 이상의 다이렉트 세일즈 경험, 신규 고객 확보 및 고객 확대 경험, 새로운 고객을 확보하고 복잡한 영업 프로세스를 운영해본 경험 영업 목표 초과 달성 경험 (President’s Club, Rep of the Year 등) 복잡한 엔터프라이즈급 소프트웨어의 비즈니스 가치를 명확히 설명할 수 있는 능력 비즈니스 챔피언을 구축할 수 있는 역량 경쟁적이고 성공에 대한 강한 열망을 가진 분 우수한 영어 활용 능력 Things we love 최대 소프트웨어 시장(데이터베이스)에서 경력을 개발하고자 하는 열정 세일즈 방법론 교육 이수 혹은 이를 활용한 실무 경험 (예: MEDDIC, SPIN, Challenger Sale) 데이터베이스, 소프트웨어 개발 및 오픈 소스 기술에 대한 친숙함 Why join now 새로운 직원의 역량 개발 및 지속적인 경력 개발에 대한 전폭적인 지원 최대 25%의 커미션 엑셀러레이터 MEDDIC 및 Command of the Message를 포함한 최고 수준의 세일즈 교육, 포괄적인 세일즈 부트캠프 및 개발 프로그램 신규 입사자 RSU (Restricted Stock Units) 및 ESPP (Employee Stock Purchase Plan) 관대하고 경쟁력 있는 복지 혜택 (10% 퇴직연금 적립, 최대 20주의 유급 출산 휴가, 가족 단체보험, 불임 치료 및 웰빙 지원) MongoDB’s Sales Culture MongoDB는 기술뿐만 아니라 세일즈 시장 진출 전략에서도 항상 발전하고 혁신하고 있습니다. 우리의 세일즈 리더십은 최고의 세일즈 팀을 구축하는 데 전념하고 있으며, 팀의 모든 구성원이 성공할 수 있도록 영감을 주고 지원합니다. 우리는 여러분이 성공적으로 딜을 성사시킬 수 있도록 지원할 뿐만 아니라, " Think Big and Go Far "라는 우리의 목표를 계속 발전시킬 수 있도록 여러분의 피드백과 의견을 원합니다. MongoDB 세일즈 팀의 중요한 일원으로서, 여러분은 수익성 있는 시장에 다가갈 수 있으며, 소프트웨어 산업에서 가장 성공적인 세일즈 리더들로부터 영업 방법을 배울 수 있습니다. About MongoDB MongoDB는 변화를 위해 만들어졌습니다. 우리는 고객과 구성원이 시장의 속도에 맞춰 혁신할 수 있도록 힘을 실어줍니다. 우리는 AI 시대를 위한 데이터 플랫폼을 새롭게 정의하여, 혁신가들이 소프트웨어로 산업을 창조하고, 변화시키고, 혁신할 수 있도록 합니다. MongoDB의 통합 데이터 플랫폼은 시장에서 가장 널리 제공되며 전 세계적으로 분산된 데이터 플랫폼으로, 조직이 기존 레거시 워크로드를 현대화하고, 혁신을 수용하며, AI를 마음껏 활용할 수 있도록 지원합니다. 클라우드 네이티브 플랫폼인 MongoDB Atlas는 AWS, Google Cloud, Microsoft Azure에서 모두 사용할 수 있는 유일한 전 세계 분산 멀티클라우드 데이터 플랫
WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: As a Data Engineer in the WPP Enterprise Data Group, you will be responsible for the design and implementation of scalable data solutions providing enterprise-scale data transformation across a broad range of projects. Your role will focus on delivering solutions that utilize large-scale data ingestion, processing, storage/querying, streaming, and batch analytics using Databricks . As part of a team, you will implement world-class solutions designed by our data architects. Your responsibilities will include estimating, designing, coding, testing, deploying, and ensuring scalability and performance on Azure using key technologies like Databricks. As a hands-on technologist with an extensive data engineering background using Databricks , you will be joining a group of Data Engineers who are passionate about building the best possible solutions for our business and endorse a culture of life-long learning and collaboration. What you'll be doing: Design, build, test and maintain data pipelines (ELT), according to business and technical requirements. Implement secure pla
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Role: As a Lead Applied Value Engineer, you are spearheading our mission of solving critical operational challenges for enterprise customers. You will be working with strategic clients to understand their unique objectives, from modernizing legacy systems to optimizing finance processes and deploying an agentic business. In partnership with the Celonis Sales Teams, you have full responsibility for the end-to-end value journey of our customers. You are our customers' trusted advisor and help them drive adoption and realize measurable business value using Celonis. You can expect to blend process and industry expertise with a solution-first mindset, analyzing customer data and deploying tactical solutions. By using the Celonis Process Intelligence platform to feed critical operational context to AI and LLM tools, you will help our customers move past simple automation to deploy intelligent, autonomous agents that solve complex business bottlenecks. You’re the Celonis expert, connecting the dots between their pain points and how our platform can solve the problem. You’d be managing weekly cadences, QBRs, and value plans to demonstrate the value of our solutions to VP+ level executives. Key Responsibilities: Pre- and Post-Sales Execu
We’re looking for a hardworking, driven Partner Sales Leader with superb energy, passion and initiative to drive partner awareness and channel new business for the fastest growing database on the planet, MongoDB. The Partner Sales team focuses exclusively on formulating and executing a pipeline generation strategy through Partners within assigned territories, resulting in aggressive pipeline growth and new customer acquisition. With a people-first culture, managing and leading our Sales team is top of mind. MongoDB is always changing and innovating — not only in our technology, but also in our sales go-to-market strategy. Our sales leadership is committed to building the best salesforce in technology. This means, inspiring and enabling success for everyone on the team. We not only equip you to be successful, but we want your feedback and input on how we can continue to “Think Big and Go Far.” As a crucial part of the Sales team at MongoDB, you will have access to a lucrative market and learn how to sell from some of the most successful sales leaders in the software industry. We are looking to speak to candidates who are based in Frankfurt, Berlin, Stuttgart and Munich for our hybrid working model. Responsibilities Proactively prospect, identify, qualify and develop a sales pipeline through our SI Partners Work with our Sales team to close business to meet and exceed monthly, quarterly and annual bookings objectives Recruit and build strong and effective partner relationships, resulting in growth opportunities Own, on behalf of VP - Area Sales, all things partner related Manage Partners at an Area level but loop back to Global team Interlock with Global Pillar teams for backup and support Participate in our sales enablement trainings, including our comprehensive Sales Bootcamp, sophisticated sales training, and leadership and development programs Collaborate with SI Partners to identify and source NWLs while strategically influencing the acquisition of new business o
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Node Infra owns the full lifecycle of accelerator capacity at Anthropic. We ingest and provision compute from all major cloud providers and from datacenters custom-built for Anthropic, stand up and scale the clusters behind one of the industry's largest AI compute fleets, and build the health, diagnostics and repair automation that keep every GPU, TPU and Trainium node in the fleet usable and ready to power Anthropic's frontier AI research. Key responsibilities Own the technical strategy and roadmap for node lifecycle management - ingestion, bring-up, health checking, and automated repair Drive cross-team initiatives to build and scale AI clusters across multiple clouds and accelerator families Design and operate the systems that detect, isolate, and remediate unhealthy hardware automatically, driving up fleet MTBI and minimizing stranded capacity Define infrastructure architecture, ensuring the hardest problems get solved - whether by you directly or by working through others Work closely with cloud providers and internal research/inference/product teams to shape long-term compute, data, and infrastructure strategy Establish and evolve operational excellence practices (incident response, postmortem culture, on-
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Cluster Infra owns the full lifecycle of compute clusters at Anthropic. We build agent-driven automation for cluster provisioning and lifecycle management across all major cloud providers and our own datacenters. Our systems stand up clusters that are interconnected with high bandwidth, secure-by-default, and able to automatically drain and recover in response to failure. As a Staff engineer on this team, you'll set the technical direction for how Anthropic brings compute online - at a moment when the scale of that compute is growing faster than at almost any company in the world. Key responsibilities Own the technical strategy and roadmap for agent-driven cluster lifecycle management - provisioning, updates and decommissioning Partner across teams to ensure new compute capacity is ingested on time Align with partner teams on physical build-out and leverage cloud solutions to deliver high-bandwidth inter-cluster connectivity Collaborate with security owners to ensure clusters are provisioned secure-by-default Define and drive strategy on cluster scalability, homogeneity and fault tolerance Work closely with cloud providers and internal research, inference and product teams to shape long-term compute, data, and i
Spaulding Ridge is an advisory and IT implementation firm. We help global organizations get financial clarity into the complex, daily sales, and operational decisions that impact profitable revenue generations, efficient operational performance, and reliable financial management. At Spaulding Ridge, we believe all business is personal. Core to our values is our relationships with our clients, our business partners, our team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation. Spaulding Ridge is an advisory and IT implementation firm. We help global organisations get financial clarity into the complex, daily sales and operational decisions that impact profitable revenue generation, efficient operational performance, and reliable financial management. At Spaulding Ridge, we believe all business is personal. Core to our values are our relationships with our clients, business partners, team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation. We are looking for a Data Engineer to join our excellent Data Solutions team in London. We implement data analytics platforms for our customers based on the Modern Data Stack approach, leveraging tools like Workato/Boomi, Snowflake/BigQuery/Microsoft Fabric/Databricks, dbt and Sigma/Omni/Looker. We are a Consulting Partner of those technologies, so we are in close contact with their Sales and Solutions teams to support customers in testing, implementing and adopting those tools. Our clients range from the hottest scale-ups in Europe to famous public enterprise companies. The role Model data as an Analytics Engineer in tools like dbt to create business logic from raw data. Assess clients' data infrastructure, identify improvements, and propose creative solutions and designs to t
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Company Overview We are building the next generation of cloud security infrastructure, focusing on advanced Data Exfiltration Protection (DXP) and unified Data Movement Policies (DMP). Our mission is to provide seamless, context-aware security that protects sensitive data without hindering developer velocity. We are looking for a visionary Principal Engineer to lead the technical strategy and architecture for our Data Movement and Perimeter control systems. Role Summary As a Principal Engineer in the Data Protection group, you will be the technical lead for the Data Exfiltration Protection (DXP) and Data Movement Policy (DMP) initiatives. You will bridge the gap between high-level security policy and low-level system enforcement, ensuring that our perimeter controls are robust, scalable, and deeply integrated with context-aware access policy frameworks. You will be responsible for the architectural evolution of our egress control systems, moving from simple IP-based rules to sophisticated, content-aware, and identity-driven data movement governance. AS A PRINCIPAL SOFTWARE ENGINEER - IDENTITY, DATA SECURITY AND TRUST AT SNOWFLAKE YOU WILL: Architectural Leadership: Lead the design and implementation of the Data Movement Policy (DMP) framework, ensuring it can handle complex
Truveta provides unprecedented real-world data and real-time intelligence, powered by a dataset built with and owned by US health systems united in a mission of Saving Lives with Data. Together, we power breakthrough medical discoveries, accelerate regulatory-grade evidence, and improve patient care. Today, Truveta enables research on more than 130 million de-identified patients across the US. Achieving Truveta’s ambitious mission requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values . This job requires daily onsite work at our headquarters in Hyderabad. Who we need Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. We are seeking candidates inspired by the opportunity to securely apply data in the development of real-world health solutions. Beyond core capabilities, we seek problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. We do things the right way. Our commitment to security, privacy, and compliance is foundational to the trust our members, customers, and partners place in us. This position is critical to protecting the infrastructure behind the most representative, complete, and timely source of linked patient data in the US. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you. This opportunity Success in the healthcare industry is predicated on a foundation of trust. We demonstrate our trustworthiness as stewards of health data through three foundational pillars: security, privacy, and compl
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
Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. About the Role: Join our Product Engineering team to develop AI and Machine Learning solutions that transform semiconductor workflows. This role focuses on model development and agentic AI applications, enabling smarter testing, faster yield advancement, and engineering automation to improve cost, cycle time, and quality. This is a ground-breaking opportunity to work on modern technologies and make a significant impact in a world-class company! You will also train and guide Citizen Data Scientists (CDS or equivalent experience) within Product Engineering, helping them apply advanced ML techniques and analytics tools to gain domain-specific insights. Key Responsibilities: Machine Learning Development: Build predictive models for yield, test time, and reliability analysis using structured/tabular data Use advanced machine learning techniques to analyze complex datasets and generate actionable insights that improve manufacturing and operational performance Build and validate ML workflows for large-scale semiconductor datasets Agentic AI Solutions: Develop intelligent agents to automate engineering tasks (e.g., test program validation, yield analysis, report generation) Integra
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Cluster Infra owns the full lifecycle of compute clusters at Anthropic. We build agent-driven automation for cluster provisioning and lifecycle management across all major cloud providers and our own datacenters. Our systems stand up clusters that are interconnected with high bandwidth, secure-by-default, and able to automatically drain and recover in response to failure. As a Staff engineer on this team, you'll set the technical direction for how Anthropic brings compute online - at a moment when the scale of that compute is growing faster than at almost any company in the world. Key responsibilities Own the technical strategy and roadmap for agent-driven cluster lifecycle management - provisioning, updates and decommissioning Partner across teams to ensure new compute capacity is ingested on time Align with partner teams on physical build-out and leverage cloud solutions to deliver high-bandwidth inter-cluster connectivity Collaborate with security owners to ensure clusters are provisioned secure-by-default Define and drive strategy on cluster scalability, homogeneity and fault tolerance Work closely with cloud providers and internal research, inference and product teams to shape long-term compute, data, and i
MongoDB is always developing and innovating — not only in our technology, but also in our sales go-to-market strategy. Our sales leadership is committed to building the best salesforce in technology. This means, inspiring and enabling success for everyone on the team. We not only equip you to be successful and close deals, but we want your feedback and input on how we can continue to “ Think Big and Go Far .” As a crucial part of the Sales team at MongoDB, you will have access to a lucrative market and learn how to sell from some of the most successful sales leaders in the software industry. About the role We’re looking for a hardworking, driven individual with superb energy, passion and initiative for new business acquisition. The Account Executive, Growth role focuses exclusively on formulating and executing a sales strategy within an assigned territory, resulting in revenue growth and new customer acquisition. We are looking to speak to candidates who are based in São Paulo for our hybrid working model. What you will be doing Proactively, identify, qualify and close a sales pipeline Strategically prospect into CTOs, Engineering/IT Leaders, & technical end users Build strong and effective relationships, resulting in growth opportunities Partner with our Solution Architects and work closely with the Professional Services team to achieve customer satisfaction Work closely with the enterprise ecosystem partner sales and channel partner to maximize deal sizes Participate in our sales enablement trainings, including our comprehensive Sales Bootcamp, sophisticated sales training, and leadership and development programs What you bring to the table 2+ years field experience of quota-carrying experience in a fast-paced and competitive market with a focus on closing net new logos and expanding accounts. Demonstrated ability to open new accounts and run a complex sales process A proven track record of overachievement and hitting sales targets Ability to articulate
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