Top Tech Jobs & Startup Jobs

Develop global data privacy, AI governance, and compliance policies; advise executives on regulatory risks; embed privacy-by-design across AI and cloud products; negotiate data protection agreements; and coordinate legal responses to security incidents, breach notifications, investigations, and communications.

Build and iterate automated GEO/SEO content and data pipelines using LLM APIs and automation tools; implement technical SEO (JSON-LD, Core Web Vitals, crawl/index fixes); analyze search intent with SQL/Python and dashboards; coordinate engineering and operations for GEO front-end changes; operate async across time zones; monitor and test new AI/dev tool releases.

Execute industrial design concepts, create 3D models, collaborate with engineers, and refine prototypes while adhering to design quality standards.

The Talent Acquisition Partner will oversee the full recruitment process, collaborate with executives, enhance hiring strategies, and improve candidate experience, focusing on the tech and AI sectors.

Lead the design and development of AI-native hardware, building a world-class design team and defining new product categories like AI wearables and companion devices.

The Product Marketing Manager will lead content strategy and product messaging, collaborating cross-functionally to optimize content performance using AI and analytics tools.

The Senior Mobile Engineer will design and develop core Plaud App features, optimize software-hardware connectivity, and collaborate with cross-functional teams to ensure robust integrations and high-quality code.

The Mechanical Engineer will design and prototype mechanical architectures for AI wearable devices, collaborating with cross-functional teams and ensuring designs are ready for production.

The Software Engineer will develop vertical workflows, implement scalable service architectures, ensure production-grade systems, evaluate AI performance, and collaborate cross-functionally to enhance engineering efficiency with AI tools.

Ensure reliability and performance of Plaud.ai's AI products at scale by designing and operating cloud-native systems, owning production reliability and incident response, building observability and automation, defining SLOs/SLIs, driving postmortems, and partnering with product and engineering teams to improve operational maturity.