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

The Enterprise Account Executive will manage the full sales cycle for a category-defining API infrastructure, focusing on fintech and B2B platforms, while building relationships and driving business growth.

The Infrastructure Engineer will design, build, and maintain cloud infrastructure, manage Kubernetes environments, improve developer experience tools, and ensure compliance with security standards.

Sell Middesk's business identity platform to enterprise customers, owning the full sales cycle from prospecting to close. Build relationships with product, engineering, compliance, risk, and executive stakeholders; lead complex, multi-stakeholder deals; generate pipeline via outbound and account planning; partner with Solutions Engineering and Product to influence roadmap and ensure successful evaluations and implementations.

Full-cycle technical recruiter owning sourcing, qualifying, and closing candidates for Engineering, Data Science, and Product. Partner with hiring managers to define role expectations, build structured interviews, improve recruiting systems and candidate experience, and leverage AI-enabled recruiting tools to scale hiring in a hybrid SF environment.

Full-cycle generalist recruiter responsible for sourcing, qualifying, and closing candidates across technical and go-to-market roles. Partner with hiring managers to build structured interview processes, ensure a fair candidate experience, and improve recruiting systems and tooling as the company scales. Hybrid role based in San Francisco.

Design end-to-end B2B product experiences that simplify complex business identity and risk data. Partner with Product and Engineering to discover, prototype, and ship solutions, evolve the design system, and communicate design rationale to stakeholders. Translate dense data into clear, trusted interfaces and build prototypes using LLM-powered tooling.

The Forward Deployed Engineer leads technical designs and deployments of customer-facing systems, collaborates with clients, and enhances engineering practices within Middesk.

Responsible for building ML applications focused on risk and fraud, tackling data challenges, innovating in feature engineering, and establishing ML infrastructure.

The Data Scientist will build AI-driven fraud and risk systems, work with real-world data, and leverage graph techniques to improve detection and labeling. They will partner with engineering to scale data systems in the compliance domain.

The Software Engineer will develop using React and Ruby on Rails, collaborate with cross-functional teams, and contribute to building customer-centric solutions.