Top Tech Jobs & Startup Jobs

Design the foundational experience for an AI-native recruiting product. Own product design end to end, including user flows, prototypes, high-fidelity designs, interaction patterns, and post-launch iteration. Partner with product, engineering, data, and adjacent design teams to simplify complex B2B workflows and shape how users interact with conversational AI, agents, and structured tools. Drive strong visual and interaction design while navigating ambiguity, rapid change, and early-stage product development.

Build and deploy production-grade AI agents within enterprise customer environments. Own solution definition, full-stack implementation, deployment, evaluation, and iterative performance improvement. Develop deep customer domain expertise, establish reusable engineering frameworks, collaborate with Product and Platform teams, and translate deployment insights into platform and product improvements.

Own end-to-end AI safety and red-teaming programs for frontier AI labs. Design adversarial testing and jailbreak methodologies, evaluate models across high-severity harm categories and agentic settings, lead expert testing teams, partner with policy stakeholders, synthesize findings into reports, and develop workforce models to improve delivery reliability.

Execute large-scale human data programs for frontier AI model training and evaluation. Design annotation frameworks, coordinate annotators, maintain playbooks, analyze labeling data, identify policy gaps and systemic errors, and support policy-program delivery with AI labs and internal stakeholders. The role requires strong analytical judgment, communication, ownership, and comfort handling sensitive content.

Lead product strategy, roadmap, execution, and organizational scaling for Handshake AI. Build and manage a product team across operator, fellow, platform, and data-modality pods; partner with Engineering, Design, Operations, Sales, and executives; prioritize investments; define success metrics; engage customers and AI labs; and scale the platform for new customers, data types, and volumes.

Lead commercial legal strategy for Handshake AI and Enterprise, managing high-value AI data, training, enterprise services, and strategic partnership transactions. Advise on data rights, IP, privacy, security, licensing, and risk allocation; negotiate with AI labs and enterprise customers; partner with Sales, Product, Partnerships, and Operations; and build scalable contracting processes, playbooks, approval frameworks, and the commercial legal team.

Lead full-cycle recruiting for strategic business and operations roles at Handshake AI. Partner with executives and hiring managers on org design, headcount planning, sourcing strategy, and hiring decisions. Build pipelines for difficult roles, provide market intelligence, optimize recruiting processes using data and metrics, and deliver an exceptional candidate experience. The role is based five days per week in the Seattle office.

Leads the design and development of consumer-facing products connecting students and employers. Architects scalable distributed systems, influences technical direction across teams, mentors engineers, and champions engineering best practices. The role requires building high-availability systems for millions of users, collaborating cross-functionally, and delivering maintainable production software. Experience with search, recommendations, personalization, identity graphs, or AI-powered applications is advantageous.

Evaluate AI models for dangerous CBRNE-related outputs, designing adversarial prompts, multi-turn attack chains, and threat models. Assess technical accuracy and real-world risk, distinguish open-source information from harmful uplift, score responses using severity rubrics, and document failures. Collaborate with AI researchers and policy teams to improve model safeguards and evaluation frameworks while following strict ethical and operational security protocols.

Design and improve Handshake’s end-to-end jobs experience, including search, discovery, job details, applications, post-application status, and the Home experience. Partner with product, engineering, data science, and content teams to translate research and behavioral data into polished designs. Create wireframes, prototypes, and experiments; optimize matching quality and application completion; and deliver trustworthy, user-friendly experiences for students.