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Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. We are incubating a 0→1 Innovation Pod dedicated to building highly differentiated, GenAI-powered solutions. This team will operate like a startup within Socure—exploring bold ideas, experimenting with novel AI techniques, and rapidly validating solutions that extend the reach of Socure’s platform into new markets.
Job Responsibility:
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
Nice to have:
Prior experience leading incubation pods, innovation labs, or internal startups
Familiarity with identity, fraud, or security problem spaces
Deep knowledge of AI/ML research trends, open-source ecosystems, and applied AI frameworks
Background in developer platforms, marketplaces, or enterprise SaaS
What we offer:
Equity
Comprehensive benefits
Annual discretionary performance bonus or commissions plans