Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Conduct quantitative and machine learning research for real-time account-compromise detection. Design, train, evaluate, deploy, and scale production models while working with customer attack data. Build systems for streaming pipelines, feature stores, high-performance databases, and distributed infrastructure. Contribute production-grade code, establish technical standards, and advance detection capabilities in a high-autonomy cybersecurity startup environment.

Design, train, evaluate, and deploy machine learning detection models that identify account compromise in real time. Move research models into scalable production systems, work with real-time data and distributed infrastructure, and architect solutions for rapid growth. Engage with customers to understand emerging attacks, shape technical direction, establish engineering standards, and raise the quality of a small, autonomous research and engineering team.

Build and scale Petra’s AI-powered cybersecurity detection platform, including real-time signal ingestion, behavioral analysis, and AI-driven decisioning. Architect distributed systems for rapid growth, improve production reliability and correctness, and serve as a senior technical voice on a small, autonomous engineering team. The role requires experience with scalable data-intensive systems and deploying machine-learning models in production.

Work directly with major customers to identify account-compromise pain points, improve product experiences, deploy new offerings, and rapidly build product enhancements. Serve as the customer’s primary contact and internal advocate while partnering with the founding team. Translate customer feedback into incremental and longer-term platform improvements using Node, TypeScript, React, and Python in a fast-paced, autonomous environment.

Own the company’s financial modeling, forecasting, budgeting, KPIs, and planning while partnering on accounting and revenue recognition. Lead legal operations, compliance workstreams including SOC 2, IT and security operations, vendor tooling, and scalable process development. This high-ownership role works closely with founders to build the operational backbone of a rapidly growing cybersecurity startup.

Build and maintain sales pipeline through MSP conferences, tradeshows, roadshow dinners, field events, and high-volume outbound outreach. Attend events 1–2 times monthly, generate qualified meetings, follow up with prospects, and collaborate with Account Executives to improve messaging and handoffs. The role requires strong organization, event presence, relationship-building, competitiveness, and 1–2 years of BDR, SDR, or outbound sales experience, ideally in SaaS or cybersecurity.

Own full-cycle SaaS sales from discovery through close, qualify opportunities, self-source pipeline, and engage technical and executive stakeholders. The Account Executive will shape sales strategy with the founding team, manage complex cybersecurity deals, forecast accurately using MEDDPICC, connect product capabilities to business outcomes, and represent Petra at conferences approximately one to two times per month.

Own Petra’s product marketing strategy, including messaging, positioning, product launches, sales enablement, content creation, and channel materials for MSP partners. Translate a technical cybersecurity product into compelling stories for technical and business audiences. Use customer conversations, call recordings, competitive intelligence, and field feedback to improve messaging. Partner with Product, Engineering, and Sales while building the product marketing function from the ground up.

Build production-ready UX from early concepts through launch, combining visual and interaction design with frontend engineering. Prototype directly in code, conduct customer research with security teams, improve accessibility and performance, and create reusable design systems, tokens, primitives, and component APIs. The role requires shipping high-quality React experiences, working through ambiguity, and balancing design judgment with engineering execution.

Own and evolve real-time machine learning detection systems for account compromise. Design, train, deploy, and monitor models in production at scale; architect systems for rapid growth; work with customers to understand attacks; and help establish engineering standards on a small, high-autonomy team.