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Strategic Sourcing Lead Jobs

8,454 active opportunities · Updated for October 2026

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Explore current strategic sourcing lead jobs. Use filters to narrow by work mode, employment type, experience and date posted.

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InMobi
📍 New York Or San Mateo• Full-time• From $206.5K/yr
1mo ago

InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact. Through Glance AI, we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home décor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi’s global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide. Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company’s Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond. At InMobi Advertising , you’ll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit www.inmobi.com Overview of the role: We are seeking a Director of Product Marketing to lead the commerce narrative, market positioning, and go-to-market strategy for the products being built within our DSP. Thi

awsgitrest
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Ema (Enterprise Machine Assistant)
📍 San Francisco Bay Area• Full-time
1mo ago

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Opportunity Summary: Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the Universal AI employee. We are founded by ex-Google, Coinbase, Okta executives, and serial entrepreneurs. We’re well-funded by the top investors and angels in the world. Ema is based in Silicon Valley with offices in Bangalore. This will be a hybrid role where we expect employees to work from the office three days a week. In this role, your work will involve: Product Strategy & Vision: Define and communicate the product strategy and roadmap based on market trends, customer needs, and company goals. Work closely with senior management and stakeholders to align the product strategy with business objectives. Market & User Research: Conduct market research and competitor analysis to identify opportunities, gaps, and market demands. Understand customer needs and translate them into product requirements. Define user personas and use cases to ensure products meet user expectations. Product Development: Collaborate with engineering, design, and

agileaigo
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About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Role Overview & Key Responsibilities This is a high-leverage leadership role that spans architecture, execution, and org-building, and will shape the direction of our AI / ML initiatives at Ema. We are seeking an AI / ML technical leader who can take a vision and build it. As a Principal ML Engineer at Ema, you will be a senior technical leader responsible for shaping the machine learning roadmap, architecting large-scale ML systems, driving innovation, and ensuring our mixture of expert models (LLM + SLM + Custom Model) is accurate and performant at scale. You will collaborate across teams (research, product, infra, data, etc.), mentor senior engineers, and influence strategy and execution at company-wide levels. Responsibilities Lead the technical direction of GenAI and agentic ML systems that power enterprise-grade AI agents — spanning reasoning, retrieval, tool use, and integrations across various SaaS products. Architect, design, and implement scalable production pipelines for model training, fine-tuning, retrieval (RAG), agent orchestration, and evaluation — ensuring robustness, latency efficiency, and continuous learning. Define and own the multi-year ML roadmap for GenA

pythonjavamachine learning
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E(
1mo ago

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. In this role, your work will involve: Product Strategy & Vision: Define and communicate the product strategy and roadmap based on market trends, customer needs, and company goals. Work closely with senior management and stakeholders to align the product strategy with business objectives. Market & User Research: Conduct market research and competitor analysis to identify opportunities, gaps, and market demands. Understand customer needs and translate them into product requirements. Define user personas and use cases to ensure products meet user expectations. Product Development: Collaborate with engineering, design, and marketing teams to deliver products that are functional, user-friendly, and aligned with business goals. Prioritize product features, enhancements, and bug fixes based on customer feedback, technical feasibility, and business impact. Manage the product development lifecycle, including setting timelines and milestones. Cross-Functional Collaboration: Work closely with cross-functional teams (sales, marketing, customer support) to ensure successful product launches. Communicate progress, roadblocks, and product updates with stakeholders and teams across the org

agileaigo
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S
1mo ago

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. Snowflake are looking for a Solution Engineer for the UK market who can solve our customer’s most complex problems. In this role you will work directly with the account sales team and channel partners to understand the needs of our customers, strategize on how to best support them in their evaluation and ultimately help our customers choose Snowflake as their solution. As a Snowflake Solution Engineer you share our passion for solving complex data challenges and helping organizations to get the most out of their data assets. Our technical landscape is ever evolving and you are keen to learn new skills and put them into practice on real world challenges. You are able to translate features and functions into solutions that solve business problems, in conversations with technical or business teams, with end users or executives. In this role you will get to: Present Snowflake’s technology and vision to executives and technical contributors at prospects and customers Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation Create and develop technical champions in your accounts to drive deals and achieve a technical win Be at the cutting edge

pythonsqlgit
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S
Snowflake
📍 Menlo Park• Full-time• From $220K/yr
1mo ago

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. We are looking for a Senior Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals. In this role you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. As a Snowflake Solution Engineer you must share our passion about reinventing the database space, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences. In This Role You Will Get To Present Snowflake technology and vision to executives and technical contributors at prospects and customers Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them. Collabor

pythonsqlai
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Snowflake
📍 London• Full-time
1mo ago

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. Snowflake are looking for a Senior Solution Engineer for the UK market who can solve our customer’s most complex problems. In this role you will work directly with the account sales team and channel partners to understand the needs of our customers, strategize on how to best support them in their evaluation and ultimately help our customers choose Snowflake as their solution. As a Snowflake Solution Engineer you share our passion for solving complex data challenges and helping organizations to get the most out of their data assets. Our technical landscape is ever evolving and you are keen to learn new skills and put them into practice on real world challenges. You are able to translate features and functions into solutions that solve business problems, in conversations with technical or business teams, with end users or executives. In this role you will get to: Present Snowflake’s technology and vision to executives and technical contributors at prospects and customers Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation Create and develop technical champions in your accounts to drive deals and achieve a technical win Be at the cuttin

pythonsqlgit
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S
Snowflake
📍 London• Full-time
1mo ago

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. Snowflake are looking for a Senior Solution Engineer for the UK market who can solve our customer’s most complex problems. In this role you will work directly with the account sales team and channel partners to understand the needs of our customers, strategize on how to best support them in their evaluation and ultimately help our customers choose Snowflake as their solution. As a Snowflake Solution Engineer you share our passion for solving complex data challenges and helping organizations to get the most out of their data assets. Our technical landscape is ever evolving and you are keen to learn new skills and put them into practice on real world challenges. You are able to translate features and functions into solutions that solve business problems, in conversations with technical or business teams, with end users or executives. In this role you will get to: Present Snowflake’s technology and vision to executives and technical contributors at prospects and customers Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation Create and develop technical champions in your accounts to drive deals and achieve a technical win Be at the cuttin

pythonsqlgit
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S
1mo ago

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. This is a hybrid (3 days in office) role in Menlo Park or Dublin offices in California Our Data Analytics and AI org (DAA) is expanding our Customer Experience Analytics team and seeking a Senior Analyst to help shape how Snowflake measures and improves the post-sale customer experience. In this role, you'll combine rigorous quantitative analysis with a strong AI toolkit to unlock insights from rich support and services delivery data - driving decisions that span product strategy, operational efficiency, and customer outcomes. Reporting to the Manager of Customer Experience Analytics, you'll partner closely with Support and Services Delivery leadership, own analytical programs end-to-end, and build scalable tools that embed your work directly into stakeholder workflows In This Role You Will Be a Trusted Analytics Partner to CXE Leadership: Work closely with Support and Services Delivery leaders to provide the data and insights that drive operational decisions Deliver Insights That Drive Action: Conduct deep-dive analyses on support case drivers, resolution patterns, customer satisfaction trends, and operational efficiency that CXE leadership can act on immediately. Connect the Dots Across Teams: Partner with Support Engineering, Services Delivery, Operations, and Finance to

pythonsqlrest
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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. Solution Engineer: Accelerate the AI Data Cloud We are looking for a Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals. In this role you will work directly with the accounts sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. As a Snowflake Solution Engineer you must share our passion about driving the AI Data Cloud adoption, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences and bridging the gap between audiences when needed. YOUR IMPACT (IN THIS ROLE YOU WILL GET TO): Present Snowflake technology and vision, focusing on the AI Data Cloud and its capabilities, to executives and technical contributors at prospects and customers. Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation. Immerse yourself in the

pythonsqlmachine learning
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S
Snowflake
📍 London• Full-time
1mo ago

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. Solution Engineer: Accelerate the AI Data Cloud We are looking for a Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals. In this role you will work directly with the accounts sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. As a Snowflake Solution Engineer you must share our passion about driving the AI Data Cloud adoption, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences and bridging the gap between audiences when needed. YOUR IMPACT (IN THIS ROLE YOU WILL GET TO): Present Snowflake technology and vision, focusing on the AI Data Cloud and its capabilities, to executives and technical contributors at prospects and customers. Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation. Immerse yourself in the

pythonsqlmachine learning
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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. Snowflake are looking for a Solution Engineer for the UK market who can solve our customer’s most complex problems. In this role you will work directly with the account sales team and channel partners to understand the needs of our customers, strategize on how to best support them in their evaluation and ultimately help our customers choose Snowflake as their solution. As a Snowflake Solution Engineer you share our passion for solving complex data challenges and helping organizations to get the most out of their data assets. Our technical landscape is ever evolving and you are keen to learn new skills and put them into practice on real world challenges. You are able to translate features and functions into solutions that solve business problems, in conversations with technical or business teams, with end users or executives. In this role you will get to: Present Snowflake’s technology and vision to executives and technical contributors at prospects and customers Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation Create and develop technical champions in your accounts to drive deals and achieve a technical win Be at the cutting edge

pythonsqlgit
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S
Snowflake
📍 Ohio, United States• Full-time
1mo ago

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. We are looking for a Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals. In this role you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. As a Snowflake Solution Engineer you must share our passion about reinventing the database space, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences. Location: Must be based in Ohio OR Indiana IN THIS ROLE YOU WILL GET TO: Present Snowflake technology and vision to executives and technical contributors at prospects and customers Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Sn

pythonsqlai
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S
Snowflake
📍 Menlo Park• Full-time
1mo ago

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. Snowflake is expanding the boundaries of the Data Cloud to support mission-critical transactional workloads. Our goal is to deliver OLTP capabilities with the performance, reliability, simplicity, and scale customers expect from Snowflake, while creating a seamless experience across transactional and analytical data. We are looking for a Senior Engineering Manager – OLTP to lead engineering teams and leaders building core transactional database technology and the cloud infrastructure required to operate it at scale. You will help define the architecture and roadmap, grow the organization, and drive technology from design through production. AS A SENIOR ENGINEERING MANAGER – OLTP AT SNOWFLAKE, YOU WILL: Set technical and execution strategy for key areas of Snowflake's OLTP platform, translating product goals into architecture, roadmaps, and team plans. Lead and grow multiple engineering teams, developing managers and senior technical leaders while fostering a culture of ownership, technical excellence, and execution. Drive adoption of AI and agentic development practices to improve engineering velocity, quality, and productivity across the software development lifecycle. Drive architecture and technical decisions in areas such as transactions, concurrency control, low-latenc

awsazuregcp
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S
Snowflake
📍 Pennsylvania, United States• Full-time
1mo ago

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. Are you passionate about helping organizations unlock the power of AI through modern data architecture? Snowflake is looking for a customer-facing Solution Engineer who combines strong technical depth with executive presence and a passion for innovation. In this role, you’ll partner with Sales to guide customers from raw data to real AI impact — architecting scalable solutions, delivering compelling demos, and influencing complex buying decisions across executive and technical audiences. Location: Candidate MUST be located in the Mid-Atlantic (Pennsylvania, DC, Virginia or West Virginia) What You’ll Do Lead customer conversations on AI strategy and data modernization. Design and demonstrate scalable data and AI solutions using SQL and Python. Support enterprise Proof of Concepts from concept to value realization. Translate complex technical concepts into measurable business outcomes. Navigate objections and competitive dynamics in high-stakes sales cycles. Leverage AI tools to personalize demos, accelerate preparation, and enhance delivery. What You Bring Strong SQL proficiency and experience with modern data warehousing. Experience using Python for analytics or ML workflows. Familiarity with AI/ML concepts, including Generative AI and LLMs. Exceptional communication skills

pythonsqlai
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