Customer Service Executive US

Vice President of Sales - US

Stanley/Stella

YOUR PURPOSE AT STANLEY/STELLA The Vice President of Sales will lead the strategic growth of Stanley/Stella’s US sales organization, focusing on premium market positioning, large account development, and long-term channel expansion. This individual will bring a strong network of key industry relationships and a proven ability to develop strategic partnerships within the premium blank industry.  This role is designed for a senior sales leader who can balance high-level strategic thinking with hands-on relationship management and operational discipline. The VP of Sales will mentor and elevate an experienced outside sales organization while helping create scalable business opportunities with key accounts aligned to Stanley/Stella’s premium and selective distribution model.  The ideal candidate is a collaborative and cross-functional leader who embraces operational excellence, thrives in data-driven environments, and ensures teams fully leverage CRM platforms and BI tools to maximize commercial performance and customer engagement.  This leader must understand how to build brand value, not simply drive volume and have experience positioning premium products within competitive markets. YOUR ROLE AND IMPACT Strategic Account Development  * Leverage existing industry relationships and network to open and expand large national and regional accounts focused on premium apparel solutions.  * Collaborate closely with the outside sales team to structure and negotiate strategic deals that create long-term mutual value.  * Lead executive-level customer conversations focused on growth strategy, partnership alignment, and market expansion.  * Develop strategic business plans for key accounts that create sustainable long-term growth opportunities.  Leadership, Mentorship & Culture  * Mentor, coach, and develop a seasoned sales team with deep industry experience while fostering a high-performance and collaborative culture.  * Create alignment between strategic company initiatives and field execution.  * Lead by example with a hands-on, collaborative leadership style that supports teamwork across all departments.  Selective Dealer Network Strategy  * Create scalable partnership models and commercial programs that incentivize decorators to actively represent and promote the Stanley/Stella brand.  * Build strategic levers and growth initiatives that strengthen dealer engagement, loyalty, and market representation.  * Ensure channel alignment while protecting the integrity and premium positioning of the brand.  Strategic Market Positioning  * Help define Stanley/Stella’s strategic positioning across targeted industry segments and customer profiles.  * Analyze market trends, competitive dynamics, and customer insights to identify growth opportunities and refine go-to-market strategies.  * Serve as a key voice in shaping the company’s long-term commercial strategy within the US market.  Sales Operations, CRM & Data-Driven Leadership  * Lead a highly data-driven sales organization focused on measurable growth, pipeline visibility, and strategic account management.  * Drive CRM excellence across the organization, ensuring consistent usage, pipeline accuracy, account tracking, and sales activity management.  * Help build a culture where data and insights are central to decision-making, opportunity prioritization, and strategic account management.  Cross-Functional Collaboration & Commercial Execution  * Operate as a highly collaborative and transversal leader, partnering closely across sales, planning, operations, finance, customer service, logistics, and marketing teams to drive aligned business execution.  * Foster a culture of transparency, accountability, and cross-functional communication throughout the organization.  * Ensure strategic initiatives and customer opportunities are aligned with operational capabilities, inventory strategies, and long-term business objectives.  * Partner with leadership to continuously improve reporting visibility, sales processes, and operational efficiencies across the commercial organization.  ABOUT YOU * 10+ years of senior sales leadership experience within the apparel, promotional products, wholesale blank apparel, or related industries.  * Strong existing network of large accounts and strategic relationships within the premium blank apparel and decorator ecosystem.  * Demonstrated success leading and mentoring experienced sales professionals.  * Excellent communication, negotiation, leadership, and presentation skills.  * Entrepreneurial mindset with the ability to help scale a fast-growing business.  * Must be based within commutable distance of Orange County and willing to travel nationally up to 50–75% of the time.

Cloud Partner Solutions Engineer (Microsoft Azure)

Snowflake

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. The Cloud Partner Solutions Engineering team's mission is to support co-sell objectives with Cloud Service Provider (CSP) partners by driving customer success through use case wins and go-lives, product integration launches, field enablement, and joint marketing campaigns and initiatives. As a Cloud Partner Solutions Engineer, you will own one or more hyperscaler partnerships end-to-end — combining deep technical credibility with the business acumen and program management skills to translate that technical work into measurable partner and customer outcomes. This is not a purely technical role and not a purely functional one: success requires you to be equally comfortable architecting a cross-cloud Iceberg solution with a partner SA team and leading a joint executive business review with cloud partner and Snowflake field leadership. KEY RESPONSIBILITIES: Partner Strategy & GTM Program Ownership • Own the overall joint GTM strategy and execution plan for your assigned cloud partner(s), aligning Snowflake's field priorities with cloud partner co-sell programs and market initiatives. • Build and manage a portfolio of cloud partner product integrations and joint solutions — from business case through launch — ensuring each delivers measurable field and customer value. • Develop Joint Industry Solutions, co-sell assets, and cloud marketplace offerings that align Snowflake use cases to cloud partner product portfolios and commercial programs. • Lead joint planning cadences with cloud partner alliance teams, translating partner strategy into actionable quarterly and annual execution plans. • Identify whitespace opportunities, product gaps, and integration priorities; synthesize partner field feedback into structured recommendations for Snowflake product and GTM teams. • Represent Snowflake at partner events, conferences, and executive forums — including AWS re:Invent, Google Next, and Microsoft Build — as a credible voice across both technical and business audiences. Top Account Co-Sell Execution • Drive joint account planning with field AEs and cloud Alliances teams against top-account lists, establishing 18+ month account strategies that integrate Snowflake and cloud partner resources. • Lead and manage the full co-sell lifecycle — from opportunity identification and qualification through technical win and production deployment — with clear milestone ownership and stakeholder communication throughout. • Frame and communicate the business value of joint Snowflake + cloud partner solutions to executive and technical stakeholders at target accounts, tailoring the narrative to industry context and customer objectives. • Deliver packaged POCs and customer workshops built around high-impact co-sell plays — including Open Lakehouse (S3/Iceberg, Fabric OneLake, BigLake), Cortex AI + cloud LLM services (Anthropic/Cortex, Azure OpenAI, Vertex AI), and Data Engineering pipelines. • Partner with SI teams on joint POC delivery and coordinate cross-functional resources (product, professional services, Alliances) to remove blockers and accelerate time to go-live. • Conduct and participate in joint Quarterly Business Reviews (QBRs) with cloud partner and Snowflake field leadership, presenting pipeline health, consumption trends, and next-period priorities. Cloud Partner Field Enablement • Design and deliver enablement programs for cloud SA and partner field teams across AWS, Azure, and GCP — building both technical competency and commercial confidence in positioning Snowflake co-sell plays. • Build and sustain cloud SA champion networks through structured, account-based up-skilling covering product features, industry verticals, enterprise architecture patterns, and value-based selling frameworks. • Support cloud partner COE maturity development by providing architecture guidance, deployment best practices, and access to Snowflake technical and GTM resources. • Publish technical blogs, whitepapers, quickstarts, and case studies that document joint integration patterns, customer outcomes, and co-sell plays — creating reusable assets that multiply field impact beyond individual engagements. • Develop and maintain L100/L200 enablement decks and partner-facing narratives that translate complex technical integrations into business-relevant co-sell stories. Technical Depth — Cortex AI, Iceberg, and Cross-Cloud Architectures • Lead hands-on Cortex AI enablement with cloud partner field teams, covering Cortex LLM, Search, Analyst, Fine Tuning, and Anthropic/Cortex co-sell plays relevant to each cloud's AI portfolio. • Architect and deliver cross-cloud Iceberg and Lakehouse solutions integrating Snowflake with AWS S3/Iceberg, Microsoft Fabric OneLake, and Google BigLake — demonstrating interoperability across the open data ecosystem. • Enable Openflow, Snowpark, and Snowpark Container Services (SPCS) deployment patterns in joint customer engagements, with a focus on production-readiness and scalability. • Map Snowflake workloads to cloud partner product portfolios (AWS SageMaker, Bedrock, Glue, MSK; Azure Data Factory, Power BI, Copilot, AI Studio; GCP Vertex AI, Gemini, BigQuery) to craft technically grounded co-sell narratives that hold up in front of both SAs and architects. • Support customers from technical win through production deployment, ensuring that go-live results in measurable, sustained consumption. Mentorship • Mentor junior Solutions Engineers on cloud partner engagement models, co-sell execution, business value framing, and technical delivery. • Elevate team capability across technical depth, GTM execution, and partner program management by sharing playbooks, lessons learned, and reusable assets. EDUCATIONAL BACKGROUND * Bachelor’s Degree: Most roles require a degree in Business, Marketing, Computer Science, Data Science, or a related analytical field. * Advanced Degrees: An MBA or a Master’s in Data Analytics is often preferred for senior-level or strategic positions. Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. The application window is expected to be open until July 12, 2026. This opportunity will remain posted based on business needs, which may be before or after the specified date. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Solution Engineer - Data Engineering Specialist (FSI)

Snowflake

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 about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Our Solution Engineering organization is seeking a Data Engineering Specialist to join our Applied Field Engineering team supporting the Financial Services industry sector. We are looking for someone who can provide technical leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture and overall ecosystem. In this role you will work directly with the sales team 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. You will leverage your expertise, best practices and reference architectures highlighting Snowflake’s Data Platform capabilities across data ingestion, transformation, and lakehouse workloads. 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: * Apply your multi-cloud data architecture expertise while presenting Snowflake technology and vision to executives and technical contributors at strategic prospects, customers, and partners * 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 * Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing ON DAY ONE, WE WILL EXPECT YOU TO HAVE: * 10+ years of architecture and data engineering experience within the Enterprise Data space * 5+ years experience within a pre-sales environment (Sales Engineer, Solutions Engineer, Solutions Architect, etc…) * Proven experience working with Financial Services customers * Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos. * Ability to connect a customer’s specific business problems and Snowflake’s solutions * Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture. * Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies. For example, Data Lake, Data Mesh, Data Fabric * Hands on Development experience with technologies such as SQL, Python, Pandas, Spark, PySpark, Hadoop, Hive and any other Big data technologies * Deep understanding of data integration services and tools for building ETL and ELT data pipelines such as Apache NiFi, Matillion, Fivetran, Qlik, or Informatica. * Familiarity with streaming technologies (ex. Kafka, Flink, Spark Streaming, Kinesis) and real-time or near real time use cases (ex. CDC) * Experience designing interoperable data lakehouse architectures and experience working with Iceberg, Delta, and Parquet * Strong architectural expertise in data engineering to confidently present and demo to business executives and technical audiences, and effectively handle any impromptu questions * Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. The application window is expected to be open until July 13, 2026. This opportunity will remain posted based on business needs, which may be before or after the specified date. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com