Staff Solution Engineer

Job title: Staff Solution Engineer in San Francisco, CA at People.ai Company: People.ai Job description: About : is an AI-powered foundational data platform that helps customers unlock go-to-market success & growth by providing teams with solutions built specifically for their needs. Providing enhanced pipeline visibility, more actionable insights, and a single source of truth for all sales activities. 's unique dataset, consisting of trillions of sales activities, millions of deals, 160 million business contacts, and 69 approved patents related to AI-based business insights, sets the company apart. Companies such as Verizon, IBM Red Hat, and Palo Alto Networks rely on their enterprise-ready, patented AI , we believe that people enrich the world around them in countless ways. We believe that the more time they spend applying their creativity, resourcefulness, and critical thinking to activities that matter most in their professional life, the more effective a professional they become. Our team is a diverse, outspoken group of creatives and critical thinkers, hyper-focused on driving change and growth. We embrace different. We applaud non-traditional career paths. We're inspired by people who have made processes theirthe Role: The Solution Engineer will play a crucial role in supporting sales efforts to win new acquisition and expansion opportunities. This role is responsible for helping drive revenue growth by partnering with the sales team to engage customers, demonstrate the value of 's solutions, and provide technical expertise. The ideal candidate will be a trusted advisor to customers, capable of engaging in enterprise-level conversations, and skilled in navigating complex sales cycles.Responsibilities

• Support sales in exceeding quotas through enterprise solution

on strategic opportunities, attend customer meetings, and establish trusted advisor relationships with up as a trusted customer-facing resource within the first few months, confidently engaging in C-level enterprise multiple high-value opportunities within the first year by effectively demonstrating the value of 's solutions and addressing technical pre-sales significant annual upsell expansion revenue by ensuring seamless deal coverage during implementation and fostering long-term customer training modules regularly for AE Enablement or company-wide training, including live training and enablement programs on new features and competitive with Marketing and Product teams to align sales messaging for new product releases and strategic initiatives, producing customer-facing content (e.g., whitepapers, articles, documentation).Requirements:

• Several years of experience in Enterprise SaaS Solution

sales acumen with excellent presentation and demo capabilities; confident in remote and in-person customer in Salesforce, data analytics, and technical experience (e.g., some coding or data engineering background). * Proven track record as a top performer in solution engineering in creating training and customer-facing content to enable sales of big data, analytics, revenue operations, and marketing automation teamwork skills, with the ability to collaborate effectively with Sales, Account teams, and cross-functional teams such as mindset with a passion for learning, innovation, and adapting to new to feedback, willing to challenge ideas constructively, and committed to the success of and its to work in a fast-paced, data-driven environment and solve high-level technical and business challenges.Headquartered in San Francisco, CA, is backed by Y Combinator and Silicon Valley's top investors, including ICONIQ Capital, Andreessen Horowitz, Lightspeed Venture Partners, Akkadian Ventures, and Mubadala Capital. is listed in the top 20 percent of Inc 5000 companies, is a regular leader in our key categories on G2, and is on the Forbes list of America's Best Startup Employers. For more information, please visit .--A reasonable estimate of on-target earnings (OTE) is $180,000 to $220,000. Additionally, regular employees may be eligible for commissions or bonus programs (target included in OTE), equity, and benefits. The range is subject to change. takes into wide range of factors when determining an individual's pay. These factors can include, skill set, training and experience, licensure and certifications, and location and metropolitan area. Expected salary: Location: San Francisco, CA Apply for the job now! Apply for this job