Senior Solution Engineer
People.ai Inc. - San Francisco
Work at People.ai Inc.
Overview
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Overview
People.ai
:
People.ai
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.
People.ai
’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
technology.At
People.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 their
own. About
the 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
People.ai
’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
selling. Co-sell
on strategic opportunities, attend customer meetings, and establish trusted advisor relationships with
customers. Ramp
up as a trusted customer-facing resource within the first few months, confidently engaging in C-level enterprise
conversations. Win
multiple high-value opportunities within the first year by effectively demonstrating the value of
People.ai ’s solutions and addressing technical pre-sales
inquiries. Drive
significant annual upsell expansion revenue by ensuring seamless deal coverage during implementation and fostering long-term customer
success. Deliver
training modules regularly for AE Enablement or company-wide training, including live training and enablement programs on new features and competitive
updates. Collaborate
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
Engineering. Strong
sales acumen with excellent presentation and demo capabilities; confident in remote and in-person customer
engagements. Expertise
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
roles. Experience
in creating training and customer-facing content to enable sales
teams. Knowledge
of big data, analytics, revenue operations, and marketing automation
tools. Strong
teamwork skills, with the ability to collaborate effectively with Sales, Account teams, and cross-functional teams such as
Product. Growth
mindset with a passion for learning, innovation, and adapting to new
technologies. Open
to feedback, willing to challenge ideas constructively, and committed to the success of
People.ai
and its
customers. Ability
to work in a fast-paced, data-driven environment and solve high-level technical and business challenges. -- 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.
People.ai
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.
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