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

Design and maintain scalable backend systems for multi-channel, AI-driven messaging. Collaborate cross-functionally to build high-performance services, optimize message delivery at massive scale, improve code quality, reduce technical debt, and drive architectural decisions using advanced AI/LLM technologies.

As a Senior Machine Learning Engineer, you will design and operate scalable ML systems for real-time personalization, collaborating with teams and mentoring engineers.

Lead and grow an applied/data science team to define vision, develop ML and causal inference solutions, establish experimentation and measurement best practices, translate business problems into scalable models, partner with Product and Engineering to productionize models, and influence executive strategy with data-driven insights.

Serve as the primary FP&A partner for G&A functions, owning annual budget and rolling forecasts, headcount modeling, KPI definition, monthly business reviews, variance and driver analysis, financial modeling for investments, partnering with Accounting, and improving planning processes and tooling (Anaplan, NetSuite, Excel, AI-assisted workflows).

Act as a technical liaison between customers, Customer Success, and Engineering to triage and resolve technical issues via Zendesk/JIRA/calls. Handle incidents (including on-call), translate customer feedback into engineering actions, develop reusable solutions, identify and escalate bugs, and collaborate cross-functionally to mitigate site event incidents.

As a GTM Engineer, you'll build automation solutions, streamline workflows, enhance data quality, and implement AI tools to improve Sales and Customer Success operations.

Lead architecture and development of high-scale systems for ingesting, processing, storing, and serving user profiles. Drive cross-team initiatives across APIs, streaming infrastructure, and data processing. Improve scalability, reliability, data quality, observability, and performance while mentoring engineers and partnering with product, data, and ML teams to enable segmentation, personalization, and ML use cases.

As a Mid Market Account Executive, you will sell multiple products, engage with C-suite and VP-level marketing contacts, and manage a sales pipeline while exceeding quotas.

Lead design and implementation of scalable, reliable platform systems; define SLIs/SLOs and observability; drive cross-team strategic initiatives; mentor engineers; own production standards, incident management, and cost/operational optimization to improve platform reliability and scalability.

Design, build, and maintain backend BI tooling, data pipelines, and platform features to generate operational metrics. Improve code quality, scalability, reliability, and performance; implement testing strategies; translate business requirements into technical plans; and mentor junior engineers while collaborating with product and stakeholder teams to deliver data-intensive analytics and reporting solutions.