Solutions Engineer

Pendulum offers unmatched social data coverage, ensuring companies never miss conversations they care about across video, audio, image, and text content – including YouTube, TikTok, Instagram, Snapchat, podcasts, Reddit, and more. Based on proprietary machine learning (ML) technology, the Pendulum Intelligence platform has the most comprehensive social media coverage to help enterprise brands proactively identify opportunities and mitigate risks, enabling better decision-making across the organization.

We are deeply inspired by our mission, motivated by solving hard technical problems, and obsessed with our customers. Fulfilling our mission demands bringing together a team with a broad range of backgrounds and experiences. Diverse teams are the strongest teams because their plurality of experience enriches and expands the solution space and enriches decision-making. Diversity and inclusion are therefore core to our values and at the forefront of our hiring philosophy and day-to-day operations.

We are currently seeking a Solutions Engineer who can serve as the technical bridge between Pendulum's AI-powered platform and our enterprise clients' most critical challenges. As part of this team, you will work directly with Fortune 500 companies, financial institutions, and government organizations to design, demonstrate, and implement social intelligence solutions that address complex use cases in crisis management, brand protection, competitive intelligence, and threat detection.

What you'll do

• Design and deliver solutions for high-stakes clients, including Fortune 500 companies, PR & Comms firms, and government agencies. These organizations depend on us to detect crises before they escalate, track narratives across platforms, and provide actionable intelligence under aggressive SLAs. You'll architect deployments that meet their unique requirements.
• Translate AI capabilities into business value: Our platform leverages advanced ML for logo, product, and facial recognition, OCR, sentiment analysis, and narrative detection across text, images, audio, and video. You'll explain these capabilities to both technical and executive stakeholders, demonstrating how they solve real-world problems in crisis response and risk mitigation.
• Build compelling proofs of concept and demos: Create customized demonstrations that showcase Smart Alerts, RiskWand monitoring, AI-generated reports, and custom dashboards. Configure solutions that illustrate how clients can track sentiment shifts,
• Identify influencers, map narrative amplification, and respond to emerging threats across 26+ social platforms.
• Partner across functions: Collaborate closely with sales teams to understand prospect requirements, work with product and engineering to translate client needs into technical specifications, and coordinate with Customer Success to ensure seamless client onboarding and ongoing support.
• Shape the product roadmap: Provide critical feedback to product teams based on client requirements, competitive intelligence, and emerging use cases. Your insights from customer engagements will directly influence platform development priorities and feature design.

• Strong Solutions Engineering Experience: Demonstrated success in a solutions engineering, sales engineering, or technical consulting role, preferably in SaaS, AI/ML, analytics, or enterprise security platforms. You've navigated complex sales cycles and delivered technical wins with Fortune 500 clients.
• Technical Fluency: Understand APIs, data pipelines, cloud infrastructure, and software integrations. You can discuss system architecture, data flows, and technical trade-offs credibly with engineering teams while translating these concepts into business outcomes for non-technical stakeholders. Can script with Python, PostgreSQL, or Athena on AWS. Preferred AI tools experience with Claude and Cursor. If not these, professional experience with other AI tools.
• Enterprise Client Expertise: Experience working with large organizations, including regulated industries like financial services or government agencies. You understand how enterprises evaluate technology, navigate procurement processes, and manage cross-functional stakeholder alignment.
• Communication and Presentation Excellence: Deliver compelling demos and technical workshops to audiences ranging from hands-on analysts to C-suite executives at Fortune 500 companies. You can adapt your message to your audience, whether explaining ML algorithms to data scientists or business impact to communications directors.
• Domain Knowledge (Preferred): Familiarity with social media analytics, brand monitoring, crisis management, corporate communications, risk analysis, or intelligence operations. Background in AI/ML concepts, particularly NLP, computer vision, or sentiment analysis, is a significant plus.
• Self-Directed and Adaptable: Thrive in ambiguous, fast-paced startup environments. You can manage multiple client engagements simultaneously, prioritize effectively, and solve problems independently while knowing when to pull in additional expertise.

• Grow as a professional by working with emerging technologies in a high-demand industry segment
• Drive company direction at a company that encourages input from all levels to help shape our trajectory
• Experience working at a technology company in which the mission focus is on tackling one of society’s greatest challenges
• Learn from industry and government experts who value initiative and encourage innovation
• Enjoy the flexibility to work remotely, unlimited PTO, company (and two personal-choice) holidays
• Receive excellent benefits, including 100% employer-paid employee health premiums (50% for dependents), 401(k), and FSA

We are an insanely innovative startup transforming how brands understand consumers. As a remote-first company, we value results, autonomy, and the ability to turn social noise into actionable intelligence.

Compensation

The Solutions Engineer position offers a base salary range of $90,000 to $140,000, along with equity and comprehensive benefits. Please note that this range serves as a guideline; actual total compensation may vary based on factors such as experience, skill set, qualifications, and geographic location.