Zearch

Partner with sales teams to deliver tailored technical solutions and demos for enterprise data and AI platforms. | Requires 4+ years in sales engineering or pre-sales with knowledge of data tools, APIs, SQL, and cloud platforms, and ability to communicate complex data concepts to stakeholders. | Senior Sales Engineer / Solutions Engineer / Solutions Architect / Pre-Sales Consultant – AI & Data Intelligence Platform (Series A) ​ West Coast Preferred ​ About the Company We’re working with a fast-growing, Series A technology company building an AI-powered data intelligence and metadata platform that helps modern data teams discover, trust, govern, and operationalise their data. The company is built on a widely adopted open-source foundation and is backed by top-tier investors following a recent Series A. ​ Their platform sits at the heart of the modern data stack, powering data discovery, observability, governance, lineage, and AI-readiness through a unified semantic layer and knowledge graph. ​ The Role We’re hiring a Sales Engineer to join a high-growth go-to-market team and partner closely with Account Executives on complex, enterprise sales cycles. ​ You’ll act as the technical authority in the deal — running discovery, delivering high-impact demos, supporting PoCs, and helping customers design solutions across their data and analytics ecosystem. ​ What You’ll Do • Partner with Account Executives throughout the full sales cycle as the technical lead • Deliver compelling, tailored product demos to technical and executive stakeholders • Run technical discovery, solution design, and architecture conversations • Support PoCs, trials, and enterprise evaluations • Translate complex data and AI concepts into clear business value • Provide feedback to Product and Engineering based on customer needs and market signals ​ What We’re Looking For • 4+ years experience in Sales Engineering / Solutions Consulting / Pre-Sales • Strong understanding of data platforms, analytics stacks, metadata, data governance, lineage, or data quality, MDM, Master Data Management, iPaaS. • Comfortable presenting to both highly technical and senior business stakeholders • Experience running demos, workshops, and technical evaluations • Familiarity with modern data tools, APIs, SQL, cloud data platforms, or analytics tooling ​ Why This Role? • Work on a category-defining data & AI platform at the center of the modern data stack • Join a high-growth, product-led company with strong open-source adoption and enterprise traction • High impact role with exposure to complex enterprise architectures and cutting-edge AI use cases • Clear progression, strong leadership team, and real influence on how the product is sold and positioned

Lead engineering strategy, architecture, and team building for a scalable, secure enterprise platform while collaborating with founders and investors. | Extensive leadership in cybersecurity or SaaS startups, hands-on scaling experience, strong architectural and recruiting skills, and willingness to work near SF Bay Area. | Zearch are hiring for a CTO or Head Of Engineering to lead technical execution, define the long-term architecture, and scale our clients platform and engineering team beyond MVP. As a core member of the founding team, you’ll own engineering outcomes and help shape product strategy, execution, and team culture. You’ll work directly with the founding team on fundraising, investor conversations, and technical diligence. Our client are looking for a 0→1 technical leader - ambitious, hands-on, and ready to build from the ground up. About You: • Deep expertise in cybersecurity, SaaS, or data infrastructure (founder experience a plus). • Proven track record building secure, scalable platforms in startups or enterprise environments. • Hands-on leader comfortable taking teams from zero-to-one and scaling for growth. • Strong architectural instincts and long-term tech decision-making skills. • Experience hiring, mentoring, and retaining top engineering talent; strong recruiting network. • Effective communicator with customers, investors, and technical/non-technical peers • Strategic thinker who can set vision and execute hands-on • Builder’s mindset with ownership, transparency, and high standards • Passion for shaping collaborative, high-trust engineering culture • Based in or willing to work closely with teams in SF Bay Area (preferred), Seattle, or Boston Responsibilities include: Own Engineering strategy & execution • Lead the development and delivery of our client’s platform — driving speed, reliability, and security. Set the engineering bar high, and ensure consistent delivery against roadmap priorities. Drive Technical Strategy, R&D & Innovation • Own our client's technical direction and R&D pipeline. Explore frontier technologies like MCP, A2A, and translate those ideas into real product innovation. Architect for Scale, Security & Enterprise Readiness • Make foundational decisions on architecture and infrastructure. Ensure their platform is modular, resilient, and scalable for enterprise deployments. Build & Lead a World-Class Engineering Team • Hire, mentor, and retain top engineering talent. Shape a culture of ownership, transparency, and continuous learning. Build a modern AI-native engineering org from the ground up. Partner Cross-Functionally & at the Board Level • Collaborate closely with the founding team, go-to-market, design, and board stakeholders. Ensure engineering efforts align with company goals and customer needs. Engage Deeply with Customers & the Market • Talk to CISOs, developers, and partners directly. Gather feedback, pressure-test ideas, and ensure we’re solving real problems with practical, secure solutions. Be the Voice & Brand of Engineering • Represent engineering in executive meetings, investor discussions, and public forums. Communicate clearly about risks, trade-offs, and technical wins. Required Technical Skills: • AI & Agentic AI platforms (e.g., LangChain, AWS Bedrock) • Agentic middleware and MCP protocols • Threat detection and security monitoring • Data pipelines and graph databases • Cloud technologies (AWS/GCP/Azure), modern architectures • Identity/auth (OAuth, SSO), containerization (e.g., Kubernetes)