Head of Product Engineering

November 20

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Socure

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Artificial Intelligence • Security • Finance

Socure is a leading platform for digital identity verification and trust. Utilizing advanced predictive analytics, artificial intelligence, and machine learning technologies, Socure leverages vast online and offline data intelligence including email, phone, address, IP, and device information to verify identities in real-time. Their solutions address challenges in onboarding, login authentication, account takeover prevention, and contact center operations. Socure's AI-powered platform excels in combating identity fraud, ensuring compliance, and enhancing user experiences across various industries such as financial services, eCommerce, online gaming, and crypto.

501 - 1000 employees

Founded 2012

🤖 Artificial Intelligence

🔐 Security

💸 Finance

💰 $450M Series E on 2021-11

📋 Description

• Lead a 0→1 Pod: Own technical execution for a small, entrepreneurial engineering team tasked with exploring, prototyping, and shipping GenAI-driven solutions. • Hands-on Innovation: Architect and build experimental systems using LLMs, multi-agent frameworks, retrieval-augmented generation, and other GenAI techniques. • Rapid Prototyping: Drive fast iteration cycles—building MVPs, validating with customers, and pivoting quickly based on feedback and feasibility. • Cross-Functional Alignment: Collaborate closely with Product, Data Science, and Design to transform early-stage ideas into differentiated solutions. • Scalable Foundations: Define the technical patterns, infrastructure, and toolchains that allow successful prototypes to evolve into production-grade systems. • Talent Development: Recruit, mentor, and inspire top-tier engineers excited by GenAI and zero-to-one product building. • Innovation Culture: Foster a culture of experimentation, curiosity, and technical excellence within the pod and across the broader engineering org. • External Awareness: Track emerging GenAI research, tools, and competitive landscapes to inform Socure’s innovation strategy.

🎯 Requirements

• 10+ years of engineering leadership experience including 2+ years in a fast paced, rapid prototyping leadership role. • Demonstrated success building 0→1 products, ideally within a high-growth startup or incubation environment. • Hands-on expertise with modern GenAI techniques (LLMs, multi-modal AI, RAG pipelines, agentic workflows, vector databases, orchestration frameworks). • Strong backend and cloud-native engineering background with experience scaling prototypes into robust systems. • Proven ability to balance rapid experimentation with technical rigor and reliability. • Effective communicator who can translate cutting-edge technical concepts into business and customer value.

🏖️ Benefits

• Offers Equity • Offers Bonus