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Model Validation Senior Manager Jobs

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Explore current model validation senior manager jobs. Use filters to narrow by work mode, employment type, experience and date posted.

RJ
29 days ago

About the Team & Role: We're building Rubrik Agent Cloud, the enterprise platform to monitor, govern, and remediate AI agents. Our team operates at the intersection of AI, distributed systems, and enterprise security, creating solutions that make it possible for organizations to operate production-grade AI agents at scale. As a member of the Rubrik Agent Cloud team, you'll work with cutting-edge AI technologies while solving complex challenges in scaling, security, and performance. We're a collaborative team passionate about pushing the boundaries of what's possible with enterprise AI infrastructure. Nature of the Specialized Duties ➢ Architecting and Governing Secure Multi-Cloud Foundations (30% of time) Leading the end-to-end architectural design and onboarding of complex business units into a multi-cloud ecosystem (AWS, Azure, GCP, OCI), ensuring structural parity across disparate environments. Engineering secure "Landing Zones" and multi-tenant structures using advanced Identity and Access Management (IAM) hierarchies and automated policy enforcement. Developing and implementing global Role-Based Access Control (RBAC) models and Attribute-Based Access Control (ABAC) frameworks to manage granular permissions for AI agent workloads. Designing and governing resource hierarchy models and tagging standards that utilize metadata for automated lifecycle management and complex cost-attribution algorithms. ➢ Engineering Security and Compliance at Scale for AI Workloads (25% of time) Designing and implementing cryptographic controls, including Key Management Service (KMS) integration, encryption-at-rest/transit protocols, and hardware security module (HSM) configurations. Architecting network security perimeters using VPC Service Controls , Privileged Identity Management (PIM), and deep packet inspection logging. Conducting technical root-cause analysis of security vulnerabilities and engineering automated remediation scripts to close compliance gaps (SOC 2, ISO

pythonawsazure
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Roblox
📍 San Mateo• $399.4K – $458K/yr
29 days ago

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Roblox is looking for a Director of Capacity Planning & Engineering to lead the team responsible for translating platform demand into physical infrastructure reality — from supply-demand modeling and hardware procurement through data center deployment and FinOps. This is a high-impact leadership role at the intersection of infrastructure strategy, operational execution, and software engineering. You will lead a team of approximately 20 people organized across four functional areas and will be responsible for scaling Roblox's infrastructure footprint as it continues to grow rapidly. What You'll Own Capacity Planning Translate platform demand forecasts into hardware requirements Own the supply-demand matching process end-to-end, working closely with Data Center, Hardware Engineering, and Supply Chain teams Build and refine capacity models that give the business confidence in infrastructure availability months ahead Deployment & Delivery Oversee hardware lifecycle from procurement through physical installation and software provisioning. Partner with platform and data center operations teams to bring new capacity online reliably and on schedule. Own delivery execution for major mileston

kubernetesaifinance
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OpenAI
📍 San Francisco• Full-time• $381K – $555K/yr
29 days ago

About the Team The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation. Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses. This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale. About the Role As a Research Engineer in OpenAI's Monetization Group, you will have the opportunity to work with some of the brightest minds in AI. You'll contribute to deploying state-of-the-art models in production environments, helping turn research breakthroughs into tangible solutions. If you're excited about making AI technology accessible and impactful, this role is your chance to make a significant mark. In this role, you will: Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact. Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives. Optimize and Scale: Implement scalable data pipelines, optimize mod

machine learningartificial intelligenceai
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Flexport
📍 San Diego• $76K – $95K/yr
29 days ago

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. The opportunity: The Sales team at Flexport is critical to our mission, fostering deep, lasting relationships that drive client success and accelerate global trade. As an Account Executive III (Farmer), you own some of Flexport's most complex and highest-opportunity client relationships in North America. Your accounts span multiple shipping modes and trade lanes — ocean, air, trucking, customs — and require genuine supply chain expertise to navigate well. You don't just manage these relationships; you shape them. You bring a strategic point of view to every client engagement, lead business reviews that drive meaningful decisions, and connect the dots across Flexport's full product suite to unlock growth. You operate with full autonomy, deliver against a high bar on revenue and retention, and are increasingly the person junior teammates turn to when they need guidance. You will: - Own end-to-end success for a portfolio of complex, multi-modal Flexport accounts in North America — including accounts with significant revenue potential and high operational intensity. - Lead RFP bids and renewals end-to-end - Serve as a true strategic partner to clients, going dee

supply chainlogisticsprocurement
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P
1mo ago

We are looking for an experienced Enterprise Customer Support Specialist who can marry deep product expertise with a passion for scaling world-class support through automation. You will be the primary advocate for our Enterprise Pro customers, helping them maximize value, troubleshooting complex issues, and feeding their insights straight into future product development. Responsibilities Work directly with enterprise customers—via tickets, Slack, and sometimes calls—to diagnose and resolve their most complex technical and product questions, acting as the “last line of defense” before Product and Engineering step in. Leverage Perplexity’s own AI tooling and workflow automations to democratize world-class support at scale, continuously identifying opportunities to replace repetitive tasks with agentic, self-service solutions that feel personalized. Build durable relationships with Enterprise users, advising on best practices, capturing structured feedback, and championing customer needs in roadmap discussions. Own end-to-end troubleshooting: reproduce issues, isolate root causes, collaborate with engineers, and communicate clear, low-jargon explanations. Design and maintain detailed use-case flows, playbooks, and internal runbooks that empower teammates and customers to solve recurring challenges faster. Create and update external documentation (FAQs, help center, guides, tutorials) and internal knowledge bases to ensure information is discoverable and up-to-date. Track and report support KPIs (response time, CSAT, resolution rates) and propose data-driven process improvements. Participate in an on-call rotation—including some holidays or weekends—to guarantee timely global coverage. Requirements Minimum 3+ years in B2B enterprise customer support with exposure to U.S. and E.U. markets, or similar fast-paced tech environments. Hands-on experience prompting large-language models, plus a solid grasp of AI fundamentals (tokens, context windows, embeddings, latency vs. co

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Anthropic
📍 San Francisco• $230K – $300K/yr
1mo ago

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 We are looking for a Director, IT SOX to join the Internal Audit team at Anthropic. In this role, you will be a hands-on technical contributor and key executor of our IT SOX compliance program, with deep focus on our IT General Controls, IT Application Controls, and system risk assessments. This role reports to the Head of IT SOX and is well-suited for someone who is comfortable with ambiguity, thrives in a high-pace environment, and enjoys solving problems that don't yet have industry-standard answers. This is a high-impact opportunity to collaborate with first and second lines of defense to help establish a control environment suitable for an AI-first company! You will act as a trusted advisor to Engineering, GRC, Security and Finance teams on the technology controls adapted to a fast growing and rapidly changing organization. You'll bring technical depth, a bias toward automation, and the ability to partner effectively with both technical teams and external auditors as the organization experiences scaling to public-company standards. Key responsibilities Advise on the design of a control environment fit for an AI-first company, including controls over highly automated DevOps pipelines and emerging agentic identity models Partner with Engineering, Security, IT, and DevOps teams to assess the design and implementation of scalable and sustainable controls Assess new system implementations and changes Identify automation and tooling opportunities to improve control efficiency and monitoring, and contribute to the development of continuous monitoring capabilities Assist in scoping and planning for annual SOX IT assessment

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Figma
📍 Ca New York• $68 – $68/hr
1mo ago

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma’s Data Science team partners across product, engineering, design, marketing, sales, and operations to help Figma make better decisions with data. As a PhD Data Science Intern, you’ll bring rigorous research training to some of Figma’s most important and open-ended questions, from researching emerging product and user behaviors and Figma’s broader ecosystem to developing new measurement methodologies, applying causal inference or machine learning, and building analytical systems. You’ll own a data science project end-to-end: from framing the question and methodology to translating findings into insights that influence Figma’s products, strategy, or data science practices; with the potential to continue toward publication after the internship. This internship will be based out of our San Francisco or New York hub. What you’ll do at Figma: Partner with cross-functional teams to turn ambiguous product, platform, or business questions into well-defined data science problems Analyze user, product, or business data to uncover insights and recommend actions Design and evaluate experiments, metrics, statistical or machine learning models, and analytical frameworks Communicate assumptions, tradeoffs, limitations, and recommendations clearly to technical and non-technical partners Own a focused internship project end-to-end, from problem framing and technical execution through final recommendations, with potential to continue toward publication after the internship We’d love to hear from you if you h

pythonsqlmachine learning
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Sigma Computing
📍 United States• $150K – $210K/yr
1mo ago

Sigma has surpassed $200M in overall revenue and is scaling rapidly. We're looking for a Revenue Operations Manager to sit at the centre of a ~$40M ARR business within Sigma that is doubling year on year. You will work directly alongside our Area VP of Sales - embedded in the business, not observing it from the outside. This is a role built on trust, proximity, and the ability to shape decisions before they get made. Think less ops coordinator, more trusted advisor with a bias for action and a sharp analytical mind. Someone who has outgrown execution and wants to shape strategy. Someone who gets uncomfortable when they are the last to see a problem coming. Someone who would rather design the system than run the report. What you will own The operating rhythm of a high-growth sales organisation - QBRs, planning cycles, leadership offsites, and the cadences that keep a fast-moving team aligned. Annual planning, built from the ground up with sales leadership rather than handed down from on high. You will own the process, the timeline, and the room. Strategic diagnostics - surfacing the leading indicators, structural risks, and pipeline dynamics that tell us where we are headed before the quarter tells us itself. AI-native workflows that eliminate grunt work and free up our talent bench to spend time on decisions, not dashboards. A direct line to senior leadership within the company, with the credibility to challenge as well as advise. You will be expected to have a view, and to defend it. What we are looking for Around a decade of experience in Sales Strategy, Revenue Operations, or a Chief of Staff function inside a high-growth B2B SaaS business. Deep familiarity with the operational workings of a high-performance GTM engine - pipeline hygiene, territory management, coverage models, operating rhythms, and annual planning. Strong written and verbal communication skills. The ability to take a complex situation, translate it for the right audience, and land

pythonsqlartificial intelligence
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Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: We are seeking a Senior Director to lead our Enterprise Reporting and Analytics Engineering organization, a team of analytics engineers, report developers, visualization specialists, and people leaders. This organization focuses on the last mile of the enterprise data supply chain: the semantic models, curated data products, metric definitions, and consumption experiences that turn engineered data into decisions. This is not a traditional reporting leadership role; the classic notion of “reporting” in the form of a myriad of dashboards and filters is racing towards obsolescence. But the need for data and insights, and the need to deliver it in a way that is digestible and actionable, is timeless. Yes, governed dashboards and trusted reporting remain the foundation, and this leader must be excellent at that foundation. But the mandate is to move the organization decisively beyond static reporting toward a proactive, intelligent analytics capability: partnering with Data Science to productize and visualize their models, enabling generative AI and LLM-based access to our data, building exception-based systems that alert users when outcomes deviate from expectation in a statistically meaningful way, and designing agents that monitor data continuously an

pythonsqlgit
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Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Link is a digital wallet designed for fast and secure online payments. It allows consumers to save and use their preferred payment methods across the Link network, helping them check out quickly and securely wherever Link is accepted. The Link Fraud and Auth team works to make Link the most trusted and highest-performing way to pay. We protect consumers and merchants from fraud, abuse, and financial loss while maximizing authorization rates for good users. Our work spans consumer-facing experiences, payment infrastructure, and ML powered risk systems. We manage fraud and financial risk across a growing range of novel Link features, including Link’s agentic wallet, stored balance, and LPMs. The team also owns Instant Bank Payments, a proprietary payment method built on ACH rails, offering merchants immediate confirmation while protecting them from bank-initiated returns. IBP is the heart of Link’s revenue engine, giving LFA engineers the opportunity to shape and scale one of Link’s most important products. What you’ll do As a machine learning engineer on Link Fraud and Auth, you’ll build and operate models and risk decisioning systems that protect Link while helping more legitimate payments succeed. You’ll work across the full machine learning lifecycle, from analyzing fraud patterns and identifying opportunities to building, deploying, monitoring, and improving models in production. You’ll use data to form hypotheses, make practical modeling

pythonsqlmachine learning
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We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! About the Role We are seeking a seasoned Manager, Software Engineering with 12+ years of experience to lead our Database Engineering and Cloud Infrastructure team. In this role, you will lead a team of high-performing engineers responsible for architecting, scaling, and optimizing multi-cloud relational and in-memory database platforms. You will bridge technical execution, engineering leadership, and strategic infrastructure planning across AWS and Azure environments. Key Responsibilities Technical Leadership & Architecture Lead the architectural design and operations of enterprise-grade, multi-cloud relational databases across AWS (RDS PostgreSQL, MySQL, Aurora) and Azure (Database for PostgreSQL/MySQL, Azure SQL Managed Instance). Drive high-availability architecture strategies, including Multi-AZ deployments, auto-failover groups, read replica scaling, and cross-region disaster recovery (DR). Oversee zero-downtime operations, including major-version engine upgrades, schema migrations, and blue/green deployment strategies. In-Memory Infrastructure & Open-Source Strategy Manage scale operations for in-memory datastores (AWS ElastiCache, Azure Cache for Redis), focusing on cluster mode operations, eviction policies, and persistence tuning. Spearhead open-source caching initiatives and migration pathways from Redis to Valkey (e.g., AWS ElastiCache for Valkey) using zero-downtime tools like RedisShake to ensure open-source license compliance and optimize cloud spend. Aut

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Figma
📍 Ca New York• $153K – $376K/yr
1mo ago

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We are looking for a Data Platform Engineer to join our Data Engineering team and help build the foundational systems that power Figma’s next generation of AI-driven products and data experiences. This is a unique opportunity to be an early engineer shaping Figma’s ML and data platform, enabling everything from self-serve analytics to production-grade AI systems. You’ll work at the intersection of data, infrastructure, and machine learning, building scalable systems that empower Data Science, unlock AI capabilities across the company, and bring data and models closer to the product experience. This is a full-time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Build and evolve the shared data platform that powers analytics, Data Science, and data-driven product development at Figma Make data development faster and easier by improving local development, testing, CI/CD, staging, and deployment workflows Create self-service tools and clear paths for teams to build, deploy, and operate reliable data pipelines Improve the reliability of critical data systems through better monitoring, data quality, incident response, upgrades, and performance management Make trusted data easier to find and use by establishing clear definitions, ownership, lineage, and reliability expectations Partner across Data Engineering, Data Infrastructure, Data Science, Research, Modeling Platform, Security, and Product Engineering to define ownership boundaries and suppo

pythonmachine learningai
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FourKites
📍 Chicago• Remote• $140K – $180K/yr
1mo ago

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it's medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity. As a Senior AI Engineer , you'll join a team focused on data integrations (shippers and carriers moving in and out of the FourKites ecosystem) and our active AI agent workstreams — including a support automation agent handling 60-70% of customer tickets, a voice agent that calls carriers to gather and update information, and an end-to-end carrier onboarding agent (email + voice). You'll work on features end to end (~75-80% backend, ~20-25% frontend) using Python, Java/GoLang, agentic frameworks like LangGraph, React, Redis and PostgreSQL. You'll develop products that change the logistics landscape for some of the biggest corporations in the world, and work closely with our US team and customers to shape the future of the industry. What you’ll be doing: Design, build, and productionize AI agents/workflows (e.g., support automation, voice, and onboarding agents) using agentic frameworks such as LangGraph Develop, test, and maintain backend applications in Python and Java or GoLang Write clean, efficient, and well-documented code across the full SDLC — development, QA, and release Design and implement data models and database schemas Collaborate with the frontend team to integrate the backend with the user interface Perform code reviews and ensure code quality standards are met Troubleshoot and debug applications, including AI agent workflows in production Work with the DevOps team to deploy and manage applications in production (Kubernetes) Continuously learn and stay up to date with new technologies and industry trends, particularly in the AI/agentic space About the team: Our product

REMOTEjavascriptpythonjava
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BB
1mo ago

Beacon Biosignals is transforming precision medicine for the brain, from clinical development to clinical care. For Life Sciences partners, we offer the leading at-home EEG platform for clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our Diagnostics business is building the most comprehensive at-home platform for precision diagnostics, combining EEG and cardiopulmonary signals to deliver reimbursable assessments for sleep and central nervous system disorders. Together, we're changing the way patients are diagnosed and treated for any disorder that affects brain physiology. Beacon Biosignals is seeking a Director, Analytics Systems to manage our Analytics Systems Team. The Analytics System Team is responsible for building and maintaining Beacon’s Analytics Suite products that serve our Life Sciences and Diagnostic customers, developing tooling and pipelines that enable Beacon scientists to efficiently curate clinical trial data and perform rigorous scientific analyses, and enabling the scalable computation, organization, and tracking of novel biomarker features. ​​This includes evolving our data infrastructure to support a centralized feature store and integrating foundation models into our core analytical pipelines. In this role, you'll manage 6-10 engineers and will be responsible for the continued development and success of your team and its products. This role reports directly to Beacon's VP of Analytics and Machine Learning. Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we also have in-person office hubs available located in Boston, New York, and Paris. The Analytics Systems Team is currently distributed across American time zones. As a successful engineering director at Beacon, you'll... Manage 6-10 engineers (and eventually managers) on Beacon's Analytics Systems Team, coaching them to pursue opportunities to grow their impact at Beacon, and guiding them to over

REMOTEmachine learningTableauproject management
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E
1mo ago

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Everpure is looking for a Territory Account Executive. In this role, you will be selling into a territory in Everpure's Central region with a focus on mid-market accounts in Indiana and Kentucky. WHAT YOU'LL DO Directly sell through an inside, direct marketing environment to deliver sales targets and consistently achieve quota Drive account strategies and coordinate team selling efforts with partners to close business on a quarterly and annual basis Develop channel relationships that will bring the sales and technical resources to each opportunity and lead to closed deals Prospect into and penetrate new accounts, reaching decision-makers and closing business Develop and present proposals to prospective customers with information that demonstrates the ability of the Everpure solution to meet customers’ business objectives and justify the sale Manage pipeline with a keen focus on conversion success and delivering an accurate forecast We are primarily an in-office environment and therefore, you will be expected to work from the office in compliance with Everpure’s policies, unless you are on PTO, or work travel, or other approved leave. WHAT YOU BRING Consistent track record of exceeding quota and driving referenceable business in a B2B technology sales environment Experience working in or understanding sales channel selling models A desire to work the bookends of the sale, from prospecting to clos

REMOTEaisupply chain
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