Forward Deployed Engineer (SF) at Doppel in San Francisco, CA

  • Company: Doppel
  • Location: San Francisco
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-07-07

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Job description

Why Join Doppel Doppel is building the future of social engineering defense. Our AI-native platform uses agentic AI to protect executives, employees, customers, and brands from phishing, impersonation, fraud, and other AI-powered threats across digital channels. We help some of the world’s most recognized brands detect and dismantle attacker infrastructure while strengthening employee resilience through threat-informed training and simulation. By unifying Digital Risk Protection, Human Risk Management and Email Security, Doppel connects threats into a real-time intelligence graph to power faster disruption, smarter defense, and modern security awareness at scale. Backed by leading investors including Andreessen Horowitz and Bessemer Venture Partners, and trusted by leading enterprises, Doppel is a rapidly growing Series C startup building the future of social engineering defense. Our team combines deep cybersecurity expertise, operational rigor, and startup velocity to solve some of the internet’s most urgent trust and safety challenges. What We're Building We're building the AI-native social engineering defense platform. This means we're designing scalable systems that monitor billions of domains, social media accounts, apps, dark web forums, etc., and leverage AI agents to identify and neutralize digital threats. What You'll Do Doppel's Forward Deployed Engineering team plays a critical role in bringing our largest, multimillion-dollar enterprise customers into production. You'll tackle complex technical challenges, integrating Doppel into enterprise security environments and making our products critical to customer operations. You'll work directly with customers, GTM, Product, and Engineering to turn ambiguous, open-ended problems into production-ready solutions. With the pace and autonomy of a startup, you'll scope, build, and ship solutions end-to-end, solve real customer problems, and turn what you learn in the field into scalable product capabilities. Solve problems that matter to customers. Work directly with enterprise customers to understand their workflows, uncover unmet needs, and translate complex challenges into solutions that deliver meaningful value. Build from 0→1. Take ideas from early discovery through prototyping, development, and production, making technical decisions and iterating quickly based on real customer feedback. Build beyond the immediate customer need. Identify recurring patterns across deployments, design reusable solutions, and turn customer-specific challenges into capabilities that strengthen the broader Doppel platform. Shape what we build next. Partner closely with Product and core Engineering to bring customer insights into technical discussions, challenge assumptions, and contribute to product priorities and decisions. Bring Doppel into complex enterprise environments. Build applications, workflows, APIs, and integrations across identity providers, SIEM/SOAR platforms, and enterprise security systems. Make the customer experience better. Develop features, automation, and AI-powered workflows that simplify onboarding, accelerate adoption, and improve how customers interact with Doppel. Own solutions through production. Work across Engineering, Product, and GTM to navigate ambiguity, solve technical blockers, and ensure what you build delivers lasting value. What We're Looking For Strong software engineering foundation. Experience building and shipping production software, with the ability to design systems, evaluate technical tradeoffs, and independently deliver end-to-end solutions. Python experience preferred. Experience building from 0→1. Track record of taking ambiguous problems from initial concept through development and launch, with the ability to iterate quickly based on feedback and real-world usage. Strong customer intuition. Ability to understand user needs, ask thoughtful questions, identify underlying problems, and translate complex requirements into practical, effective solu

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