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Doppel is an AI-native social engineering defense platform that protects enterprises from phishing, impersonation, fraud, and AI-powered threats. The company scans over 150 billion entities daily and uses agentic AI to detect and dismantle attacker infrastructure while strengthening employee resilience through threat-informed training. Backed by Andreessen Horowitz and Bessemer Venture Partners, Doppel is a rapidly growing Series C startup.
As Forward Deployed Engineering Lead, you will lead Doppel's Forward Deployed Engineering (FDE) team, which owns the technical onboarding of the company's largest enterprise customers. You'll work directly with major enterprise customers alongside GTM and Product teams to understand their needs, scope technical solutions, and build end-to-end systems for integration with Doppel's core offerings.
Key responsibilities include:
- Lead the FDE team technically: set technical direction, mentor engineers, unblock complex projects, and raise the engineering bar while remaining hands-on
- Own strategic deployments: join customers from technical discovery through production rollout, identify onboarding friction, scope solutions, and drive engineering work
- Build end-to-end solutions across APIs, webhooks, SIEM/SOAR platforms, identity systems, email infrastructure, and enterprise security stacks
- Turn field learnings into product: identify patterns across customer deployments and convert bespoke solutions into reusable product and platform capabilities
- Make deployments increasingly scalable by building systems, automation, and internal tooling
- Shape product from the field by creating feedback loops between customers, GTM, Product, and Engineering
- Help define FDE's technical boundaries and determine what should graduate into core product versus remain customer-specific
Requirements:
- 6+ years building and shipping production software with technical depth to make architecture decisions and contribute directly to codebases
- Technical leadership experience: setting technical direction, mentoring engineers, driving complex projects while remaining hands-on
- Customer-facing technical depth: experience working directly with complex enterprise customers, uncovering technical needs, and turning ambiguous problems into scoped production systems
- Experience with enterprise systems including APIs, webhooks, identity and authentication (OAuth, SAML, SCIM), and enterprise infrastructure
- Experience with security platforms or SIEM/SOAR ecosystems is a plus
- Product instincts: ability to recognize patterns across customer needs and judge when something should remain customer-specific versus become reusable product capability
- High agency in ambiguity: ability to cut through organizational and technical blockers, figure out who to pull in across Sales, Customer Success, Product, and Engineering
- Strong technical judgment and communication: comfort moving between customer calls, system design, debugging, and product planning
- AI-native mindset: experience building with LLMs, agents, or AI-powered workflows is a plus; most interested in engineers excited to use AI to change how technical customer work gets done
