Product Operations Engineer

Department: Product

Location: San Francisco

Compensation: $180K – $250K • Offers Equity

Employment Type: FullTime

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 We're Looking For

We're looking for a Product Operations Engineer who can drive operational excellence across Product, Engineering, Data/ML, and Customer teams to help scale an AI-native security platform. You'll turn ambiguous problems into repeatable processes, improve how products are built and launched, surface insights from data and customers, and ensure teams have the operational foundation to execute quickly.

• Proven track record improving cross-functional product operations and driving strategic initiatives in fast-moving environments

• Strong analytical and technical fluency (SQL, APIs, product analytics, data pipelines, ML concepts) to identify opportunities, measure outcomes, and inform product decisions

• Excellent at designing scalable processes for roadmap planning, product launches, feedback loops, prioritization, and cross-functional execution

• Relentless about operational excellence: identifies bottlenecks, streamlines workflows, and enables Product and Engineering teams to move faster

• Metrics-driven: defines KPIs, builds dashboards, synthesizes customer and business insights, and ensures product decisions are backed by data

• Clear, direct communicator who aligns Product, Engineering, Go-to-Market, and Leadership around priorities, execution, and measurable business outcomes

This version reflects what high-performing Product Operations leaders at AI startups typically own: improving execution, creating scalable processes, enabling product teams with data and insights, and ensuring successful product delivery rather than directly managing engineering programs.

What We Offer

🚀 A mission-driven culture with low ego, high ownership, deep customer obsession, and exceptional talent density

🍽️ Free lunch and dinner in the office

🌴 Flexible PTO

✈️ Quarterly team offsites

Join Doppel

Doppel is the first platform built to dismantle digital deception at scale. We scan over 150 billion entities daily and deploy continuously adaptive AI SOC agents, paired with expert human analysts, to uncover and disrupt the infrastructure behind phishing, impersonation, and online fraud before attacks can spread. Our Threat Grid turns every customer signal into shared intelligence, making each disruption smarter, faster, and more effective.

We’re not just another cybersecurity company. We’re defining the future of social engineering defense, where trust is protected, and deception becomes unprofitable. Backed by top-tier investors and trusted by some of the world’s most recognized brands, Doppel is growing fast. If you’re driven to solve real-world problems with bold technology, we’d love to meet you.