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

The Strategic Project Lead will drive execution of multi-million-dollar projects, optimize processes, and manage a large team while maintaining client relationships.

Build scalable data infrastructure, analytics, dashboards, metrics, and business workflow automations. Partner directly with stakeholders to identify problems, define roadmaps, and deliver production-ready solutions using SQL, dbt, Snowflake, Python, and BI tools. The role requires high autonomy, strong business judgment, rapid learning, AI fluency, and exceptional execution in a fast-paced in-person environment.

Design and maintain benchmarks, metrics, evaluation systems, rubrics, and automated scoring frameworks for language models. Conduct failure analysis of tool use, reasoning, and safety issues; quantify data quality and model performance; and translate findings into improvements for post-training, reward design, data curation, and benchmark development. Collaborate with AI researchers and applied AI teams in a fast-paced, in-person research environment.

Conduct applied AI research on post-training and RLVR for large language models. Design reward-shaping experiments, build scalable synthetic data and augmentation pipelines, develop evaluators and rubrics, and operate large-scale benchmarks and metrics. Analyze data quality and model performance while collaborating with AI researchers and training-data experts. The role requires strong coding, machine learning, algorithms, backend systems, and experimental reasoning skills in a fast-paced, in-person environment.

As a Backend Engineer, you'll build backend services for candidate-job matching and marketplace workflows, focusing on APIs, data models, and operational systems.

Build and operate GPU and accelerator infrastructure across cloud, on-premise, and neocloud environments. Responsibilities include Kubernetes and Slurm orchestration, distributed training, LLM serving, scheduling, benchmarking, observability, automated remediation, cost attribution, autoscaling, and capacity planning. The role writes production code, owns systems end to end, supports on-call operations, and develops tools and dashboards for technical and non-technical users.

Own global payroll delivery across multiple countries, including payroll cycles, reconciliations, statutory filings, vendor governance, controls, and issue resolution. Partner with Accounting, People Ops, Legal, and international providers on journals, close, and compliance. Lead payroll integrations for acquisitions and new-country launches, improve HRIS-to-payroll workflows, build audit-ready procedures, and automate recurring checks and reporting while protecting employee data.

Lead accounting across acquisitions from confirmatory due diligence through post-close audit. Responsibilities include evaluating transaction risks, overseeing purchase price allocations, coordinating Day 1 close readiness, managing accounting integrations, establishing opening balances and ERP mappings, tracking earnouts and goodwill impairment, supporting SOX-compliant reporting, and partnering with executives, legal teams, auditors, and acquired leadership. The role also builds scalable M&A accounting playbooks, governance frameworks, metrics, and team capabilities.

Mercor seeks research proposals examining AI’s economic and labor impacts, human-AI collaboration, productivity, enterprise adoption, and returns. Eligible applicants include researchers at universities, nonprofits, public benefit corporations, and small startups in the United States or United Kingdom. Applicants must submit an expression of interest describing methodology, team expertise, outcomes, timeline, risks, and budget. Selected projects must produce an openly licensed paper, dataset, methodology, or tool.

Own pricing and monetization strategy across AI data products. Build acquisition cost models, rate cards, pricing and packaging frameworks, margin structures, unit economics, and forecasting tools. Establish data valuation and cost ceilings, analyze competitor behavior, attribute revenue and costs, and refine pricing using market and customer feedback. Partner closely with Sourcing, Sales, Finance, and Product in an ambiguous marketplace environment.