AI Applications Engineer

You design, build, and operate the AI-powered technical systems that power our pipeline from signal detection through deal acceleration. This isn't a marketing role with a technical veneer. You write code, deploy AI agents, build data pipelines, and create the automation infrastructure that lets a lean GTM team punch way above its weight. A sales rep who walks into every meeting with AI-generated account research, real-time competitive intel, and a prospect-specific value narrative that's your system at work. You make that possible. The candidate will have responsibilities across the following functions: Pipeline Intelligence Infrastructure: - Data foundation for our two-path pipeline model: founder/partner-sourced deals and marketing-sourced leads running the full funnel. - Enrichment workflows, ICP scoring models, and signal-based triggers that surface the right accounts at the right time. - Integration of Clay, AI agents, and third-party data sources into a unified account intelligence layer. AI-Native Outbound Systems: - AI-powered outbound engines targeting CISOs, IAM leaders, and identity security buyers across enterprise and state/federal accounts. - Personalised campaign systems that generate, test, and optimise messaging variants at scale programmatically, not manually. - Automated A/B testing infrastructure across channels, messaging, and timing. CRM and RevOps Automation: - Automated lead routing, opportunity management, forecasting inputs, and handoff workflows. - Connected GTM stack: CRM, enrichment, sequencing, and analytics in one coherent system. - Data quality enforcement: clean, current, and actionable pipeline data at all times. Sales Enablement Tooling: - Automated competitive intelligence updates and AI-generated account research briefs. - Dynamic battle cards and prospect-specific leave-behinds. - Internal tools that accelerate every stage of the sales cycle. Measurement and Feedback Loops: - Dashboards tracking pipeline velocity, conversion rates, campaign attribution, and system health. - Feedback loops so the GTM machine gets smarter with every cycle. - Data pipelines connecting marketing, sales, and product signals. Requirements: - 3-5 years as a full-stack or application engineer, with strong front-end skills (React/Next.js preferred). - Experience building customer-facing tools, interactive experiences, or PLG features - not just internal dashboards. - Comfortable with data: APIs, ETL pipelines, database design, and integrating multiple data sources. - Experience with or strong interest in Clay, Segment, or similar GTM data platforms. - You build fast. You ship MVPs in days, iterate based on data, and don't wait for perfect requirements. - You use AI coding tools (Cursor, Copilot, Claude) as a daily multiplier. - Interest in cybersecurity and identity: You don't need to be an expert, but you're curious about the space. Nice to Have: - Experience building PLG tools at a B2B SaaS company. - Familiarity with Salesforce/Pardot data models. - Experience with AI/ML for scoring, classification, or recommendation systems. - Background in developer tools, security tools, or enterprise infrastructure. - Experience with AI/ML for scoring, classification, or recommendation systems. - Background building PLG tools, internal tools, or developer platforms at a B2B SaaS company. - Prior work at a Series A-C startup where you wore multiple hats. Company Summary Oleria provides adaptive and autonomous identity security solutions to protect and enable today's dynamic enterprise. Oleria Adaptive Security offers unparalleled fine-grained access visibility, including access usage insights, at an individual resource level, so CISOs can finally and confidently answer the critical questions: Who has access to what? How did they get it? What are they doing with it? Founded by cybersecurity industry veterans with decades of experience building and operating some of the world's largest security programs, Oleria has received over $40M in funding from Evolution Equity Partners, Salesforce Ventures, Tapestry VC, Zscaler, and other technology luminaries. Imagine innovating in the digital world, confident and secure. Oleria's Series A funding round in early 2024 added $33M to the $8M seed round. This milestone marks a major leap forward in cybersecurity innovation, fueling our vision to build a world where every organization is trusted to protect the data of all people. For 20+ years, our founders have been at the helm of some of the world's largest security platforms, used by billions of people every day. We understand from the ground up what clients need and how to deliver it. We're at the forefront of emerging security trends to deliver cutting-edge technology on a reliable platform. Why Join Us Working at Oleria means collaborating with industry veterans to make the digital world more secure. And we're doing it differently. We are also committed to recruiting a diverse, driven, and talented group of individuals, ensuring that they thrive in their roles daily!

Required Skills ['Algorithms', 'Data Analysis', 'ETL']

Additional Information

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