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

Designs and streamlines high-volume data fulfillment workflows, automates recurring operational work, builds dashboards and analyses, and identifies process improvements. Partners with Engineering, Sales, Product, Customer Experience, and Finance to launch products, improve procedures, manage operational costs, and maintain accurate, reliable data.

Leads Middesk’s partnerships function, expanding reseller relationships into co-selling and demand-generation engines while establishing new referral, systems integrator, AI-platform, and adjacent-vertical partnerships. Integrates partnerships into sales planning, pipeline generation, product launches, and competitive strategy; defines engagement and revenue-credit processes; represents partner needs in product planning; and builds the partnerships team, operating systems, enablement, and performance reporting.

Own Middesk’s qualified enterprise and mid-market pipeline across named accounts. Build the account list, AI-enabled research and enrichment engine, coordinated outbound, paid, SEO/AEO, and event programs. Establish account coverage standards and operating rhythms for AEs and SDRs, while orchestrating trigger-based workflows and multi-channel campaigns. The role combines strategy and hands-on execution and requires cross-functional influence without direct management authority.

Own Middesk’s end-to-end organic growth strategy across SEO, AEO, brand, social, content, and events. Drive MQLs, inbound leads, and web traffic; connect organic activity to pipeline outcomes through reporting; partner with content and product marketing teams; and determine future team and resource needs. The role combines strategic planning with hands-on execution for a technical, AI-native B2B audience.

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.

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.