Staff Solution Engineer

Posted 12 Days Ago
Be an Early Applicant
San Francisco, CA
Hybrid
180K-220K Annually
Senior level
Artificial Intelligence • Machine Learning • Sales • Software
People.ai Drives Revenue Intelligence Across All Your Customer-Facing Teams
The Role
The Senior Solution Engineer supports sales by engaging customers, demonstrating solution value, and providing technical expertise to drive revenue growth.
Summary Generated by Built In

About 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.

Headquartered in San Francisco, CA, People.ai is backed by Y Combinator and Silicon Valley’s top investors, including ICONIQ Capital, Andreessen Horowitz, Lightspeed Venture Partners, Akkadian Ventures, and Mubadala Capital. People.ai 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 www.people.ai.

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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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The Company
HQ: San Francisco, CA
117 Employees
Hybrid Workplace
Year Founded: 2016

What We Do

People.ai delivers the industry’s leading ROI (Revenue Operations and Intelligence) platform. Using patented AI technology, it transforms business activity data into recommendations that increase the impact of Sales, Marketing, and Operations. Companies such as Zoom, New Relic and PTC rely on People.ai to increase marketing ROI and grow revenue.

People.ai automatically captures and analyzes business activity data including email, contacts, and meetings from GTM teams, auto-populating CRM and systems of record. With People.ai's data platform, sales, marketing, and revenue operation teams gain unprecedented visibility into the health of their business with AI-generated insights that increase rep productivity, drive strategic coaching sessions, and deliver predictable growth quarter after quarter.

Why Work With Us

Taking care of our people enables us to serve our customers. We believe each of our customers’ problems has a data-driven solution. Through end-to-end ownership, we aim to find creative and ambitious solutions to those problems.

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