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Doppel

Source d’offres vérifiée

Outpacing what’s next in social engineering.

Technology, Information and Internet
201 à 500 personnes

À propos

In the era of AI, knowing what’s real is harder than ever. Social engineering threats are sophisticated, multi-channel campaigns. They lurk in your inbox, compromise your email channels, and weaponize fake profiles across social networks to deceive and defraud your people and your brands. Doppel is the agentic social engineering defense platform built to fight AI with AI. Unlike traditional systems that stop at detection and inbox scoring, Doppel delivers real-time disruption. We secure the inbox while executing automated takedowns on malicious sending infrastructures, lookalike domains, and rogue profiles at machine speed. By unifying Digital Risk Protection, Human Risk Management, and Email Security onto a single centralized platform, Doppel shuts down threats at their source. We safeguard every channel, move faster than attack speed, and turn global threat intelligence into a compounding network effect that keeps you ahead of the curve. Backed by Bessemer Venture Partners, a16z, George Kurtz - CEO, CrowdStrike, South Park Commons, Strategic Cyber Ventures, Aurum Partners, a group of athlete investors led by WNBA players Nneka Ogwumike, Breanna Stewart, and Kelsey Plum, who joined the round through the a16z Cultural Leadership Fund, Script Capital, 9Yards Capital, Sozo Ventures, NTT DOCOMO Ventures, and SVAngel.

Postes ouverts

Regional Vice President of Sales - Mid-Enterprise, Southeast

Télétravail · United States

The Regional Vice President will lead, coach, and develop a team of Account Executives to achieve regional revenue targets and drive growth within the Mid-Market segment. They will also define regional sales strategies, manage forecasting, and collaborate cross-functionally to ensure market coverage and operational excellence.

Software Engineer, Simulation

Hybride · Toronto

Build out a new AI-powered Simulation product that creates hyper-personalized phishing and voice deepfake simulations. Develop scalable systems to help enterprise security teams proactively defend against social engineering attacks.

Machine Learning Engineer, Detection (TOR)

Hybride · Toronto

Design, train, and deploy ML models for batch and real-time inference to identify malicious content across diverse data sources. Collaborate with Detection and Infrastructure teams to scale systems and translate real-world threats into production ML solutions.

Software Engineer, Detection (TOR)

Hybride · Toronto

Design and operate scalable backend systems and high-throughput data pipelines to identify and neutralize digital threats. You will take end-to-end ownership of features from requirement gathering to production monitoring and mentor junior engineers.

Software Engineer, Infrastructure (TOR)

Hybride · Toronto

Build and scale the infrastructure required to support a rapidly growing engineering organization. This includes managing Kubernetes clusters, implementing Infrastructure as Code, and improving system observability and reliability.