Account Executive (Tech / SaaS)

About The Role The Account Executive will own the full sales cycle for a cloud-based data and AI platform that helps engineering and analytics teams centralize data, build reliable pipelines, and deploy machine learning workflows. The role will sell to technical and business stakeholders, including CTOs, VPs of Engineering, data leaders, and procurement teams. About The Role The Account Executive will own the full sales cycle for a cloud-based data and AI platform that helps engineering and analytics teams centralize data, build reliable pipelines, and deploy machine learning workflows. The role will sell to technical and business stakeholders, including CTOs, VPs of Engineering, data leaders, and procurement teams. This role matters because customers rely on the platform to reduce infrastructure complexity, improve data quality, and move analytics and AI initiatives into production faster. The Account Executive will build qualified pipeline, lead technical discovery, coordinate solution evaluations, and turn complex requirements into measurable business outcomes. Key Responsibilities Build and manage a qualified pipeline across mid-market and enterprise accounts using outbound prospecting, inbound demand, referrals, and partner channels Lead discovery with technical and business stakeholders to understand data architecture, cloud infrastructure, security requirements, and operational priorities Run tailored product demonstrations and coordinate proof-of-concept evaluations with solutions engineering and customer success Manage complex sales cycles in Salesforce from first meeting through negotiation, procurement, security review, and close Develop account plans, multi-thread relationships, and executive engagement across target organizations using tools such as LinkedIn Sales Navigator, Outreach, and Gong Forecast accurately against quarterly bookings targets and maintain clear next steps, deal risks, close plans, and activity data in the CRM Partner with marketing, product, solutions engineering, and customer success to refine messaging, improve win rates, and expand existing customer relationships What We Are Looking For 3-8 years of quota-carrying B2B SaaS or enterprise technology sales experience, with a track record of meeting or exceeding targets Experience selling technical products such as cloud infrastructure, data platforms, developer tools, cybersecurity, observability, or analytics software Proven ability to manage consultative, multi-stakeholder sales cycles with technical discovery, evaluations, procurement, and security review requirements Strong understanding of cloud and data concepts, including AWS, Azure, or GCP; APIs, data warehouses, ETL/ELT, and modern analytics workflows Hands-on experience with Salesforce or a comparable CRM, plus sales-engagement and conversation-intelligence tools Excellent written, verbal, and presentation skills; able to translate technical capabilities into clear business value for both executives and practitioners Bachelor’s degree in business, technology, engineering, or a related field, or equivalent professional experience; Bonus: experience selling to data engineering, machine learning, DevOps, or platform engineering teams and familiarity with MEDDICC or another structured sales methodology #J-18808-Ljbffr