Sales Engineer

Job not on LinkedIn

🔥 0 minutes ago

🏈 Alabama, Connecticut, +25 more states – Remote

🏈 Alabama – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🌾 Iowa – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🦞 Maine – Remote 🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🎸 Mississippi – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote 🍁 Vermont – Remote ⚔️ Virginia – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💸 Sales Engineer

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Acryl Data

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 $9M Seed Round on 2021-06

Artificial Intelligence • Enterprise • SaaS

Acryl Data is the company behind DataHub, the leading open-source metadata platform designed to manage and govern data and AI. With a strong community of over 11,550 contributors, Acryl Data aims to become the gold standard in data and AI governance by providing reliable and compliant solutions. The company has emerged from a history of innovation at LinkedIn and has gained support from prominent investors like 8VC and LinkedIn itself. Acryl Data focuses on creating a metadata-driven control plane for data, delivering valuable insights from data leaders, and partnering with world-class companies to bring order to data chaos.

📋 Description

• Partner with account executives from start to finish to help secure new business • Develop trusted advisor relationships with customer stakeholders and executive sponsors • Engage prospects to understand their needs and gather requirements • Help sales qualify prospects • Build and present demos and presentations tailored to specific customer needs • Shape Proof of Concept success criteria • Educate prospects on product implementation and usage • Answer technical questions about product, value analysis, security, and compliance • Marshall internal cross-functional resources and orchestrate actions to help close deals • Stay current on industry trends and competitive analysis • Gather customer feedback and work with the product team to enhance the product offering • Ensure a smooth transition from pre-sales to post-sales handoff to Customer Success • Provide technical expertise and support to customers and prospects • Drive sales growth by demonstrating the value and capabilities of DataHub SaaS offerings • Articulate complex technical concepts to technical and non-technical stakeholders

🎯 Requirements

• 5+ years of experience as a Sales Engineer, preferably in a B2B SaaS or open-source software company • Strong technical skills in software development, databases, networking, and cloud computing • Experience demonstrating software solutions to enterprise-level clients • Excellent communication skills and ability to explain complex technical concepts to non-technical audiences • Strong desire to be an enthusiastic member of a growing sales team • Ability to work independently and as part of a team, with ownership and accountability • Proven ability to build relationships with customers and prospects and understand their business needs and pain points • Familiarity with open-source software and the open-source community is a plus

🏖️ Benefits

• Competitive salary • Equity • Medical, dental, and vision insurance • Carrot Fertility Program • Parental leave • Remote friendly • Work from home and monthly co-working space budget • Every team member receives an ownership stake in the company • Monthly coworking stipend • 99% coverage of medical, dental, and vision premiums for employees • 65% coverage of medical, dental, and vision premiums for dependents • Flexible Savings Account (FSA) • Dependent Care FSA • Inclusive fertility benefits and family-forming support through Carrot Fertility • Unlimited PTO • Unlimited sick leave • High-impact challenges at the heart of enterprise AI infrastructure • Collaboration with a high-caliber team • Opportunities to build next-generation AI-native data systems