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Head of New Product Engineering – AI Incubation

United States 260000.00 - 285000.00 USD / Year · Job Posted February 20, 2026
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Job Description

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

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