The role involves developing and productionizing security detection models, collaborating with security research, and shaping engineering culture as a founding team member.
Mission
Role
To secure the next generation of the web
For web3 to get into the hands of mainstream users, there cannot be exploits that steal millions of dollars in a single atomic transaction. The current exploit detection and response solutions are not sufficient to keep billions of dollars secure. We believe a combination of research-based and data-driven detection solutions and a novel response solution will leapfrog the industry forward in the battle against exploiters.
Role
Responsibilities
- Hands on develop and productionize Guardrail’s security detection models to be the best in the industry
- Own data analysis, working closely with our security researcher and CTO to continuously develop and backtest across our suite of detection techniques
- Perform data analysis on current exploits to prove and verify in-house research theses.
- Help shape the engineering culture at Guardrail as a member of the founding team
Requirements
- 5+ years of experience developing high-quality prediction models
- Experience in Python, and modern AI frameworks
- Ability to handle the breadth of scope and ambiguity as a founding member of the company
- Be borderline obsessed with data science
- (Bonus) Experience with web3 technologies and products
Similar Jobs
Artificial Intelligence • Software • Industrial • Manufacturing
Lead the Agentic AI Lab’s full-cycle research agenda, including model and training design, data, evaluation, benchmarking, deployment, and publication. Train specialized enterprise models, define rigorous evaluation gates, move research from public benchmarks to customer shadow deployments, and build a small multidisciplinary team. The role partners closely with founders and platform engineers while establishing research direction, documenting technical decisions, and mentoring engineers into researchers.
Top Skills:
Cloud Data WarehousesConstrained GenerationEvaluation HarnessesExperiment TrackingHugging FaceImitation LearningKnowledge GraphsMulti-Tenant GovernanceOffline Reinforcement LearningPyTorchReinforcement LearningReproducible Training PipelinesSequence Decision ModelingStructured Generation
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Lead GTM strategy and operations for Global Account Management, focusing on retention, churn reduction, and expansion. Build coverage models, KPIs, dashboards, and operational cadence (book building, pipeline hygiene). Automate workflows and AI-driven experiments across CRM and GTM tools. Drive cross-functional programs, translate business goals into technical requirements, and partner with Data, Product, Engineering, and Finance to scale account management operations.
Top Skills:
Ai AgentsAPIsClayLookerN8NSalesforceSlackSnowflakeSQLZapier
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Drive revenue by acquiring and expanding relationships with mid-size and high-growth brands. Lead commercial negotiations, develop deal strategies, manage sales pipelines and forecasts, close new business, and communicate Block’s payments value proposition to senior decision-makers. Build executive relationships and collaborate with Marketing, Finance, Product, Risk, Legal, Operations, and Customer Service teams to execute commercial and product initiatives.
Top Skills:
Crm Tools
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
