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

Own the machine-learning signals and decisions governing web crawling and indexing at massive scale. Develop classifiers, rankers, and calibrated models to assess page quality, credibility, freshness, parsing success, duplicate content, and indexing value. Define ground truth for ambiguous problems, validate measurable search improvements, and collaborate across crawling, indexing, and retrieval teams to improve the quality and coverage of search results.

Develop large-scale machine learning systems for web content understanding and search quality. Responsibilities include parsing web pages, classifying content, extracting metadata, assessing quality and credibility, detecting misinformation and AI-generated content, deduplicating documents, designing supervision for unlabeled problems, and building efficient models that operate across the web in every language and format.

Serve as an early legal hire supporting enterprise sales and other teams. Draft, review, and negotiate customer, data licensing, vendor, and other commercial agreements across EMEA and APJ. Build legal infrastructure, including templates, playbooks, and processes, while advising on compliance, data privacy, and legal operations. Partner cross-functionally to accelerate deal execution and provide practical legal guidance.

Own customer-facing product management for Exa’s AI Search API. Engage startups and enterprises to identify use cases, design tailored solutions, support proof-of-value demos, advise technical and executive stakeholders, and drive customer adoption and expansion. Translate recurring customer needs into high-leverage roadmap priorities and product enablement, while partnering with sales and go-to-market teams on solutions and pricing.

Own strategy, roadmap, metrics, and execution for products extending Exa’s search API. Partner directly with AI startups and enterprises to identify needs, unblock integrations, and turn customer pain points into scalable capabilities. Collaborate with engineering, marketing, sales, and field teams on launches, pricing, documentation, enablement, and adoption. Define success criteria across quality, coverage, cost, and speed while driving developer adoption and business outcomes.

Manage Exa’s IT infrastructure, including device procurement, MDM, identity and access management, endpoint security, internal tooling, onboarding, office buildouts, troubleshooting, and conference room AV systems. Support security and compliance initiatives while ensuring employees receive functional devices and access from their first day.

Lead Exa’s talent acquisition strategy, recruiting team, systems, and execution during rapid growth. Manage hiring across research, engineering, go-to-market, and leadership functions; personally conduct executive and specialized technical searches; partner with founders and hiring managers; establish hiring standards; improve recruiting operations using data and internal AI tools; and strengthen the candidate experience and employer brand.

Support Exa’s go-to-market organization by optimizing sales and customer success processes, analyzing business performance, managing vendors, maintaining revenue operations, creating enterprise sales materials, running growth experiments, enabling sales teams, and coordinating cross-functional initiatives and strategic deals.

Engineering intern will help build massive-scale search and ML infrastructure: web crawlers, embedding model training, and high-performance vector databases. Projects are matched to skills and interests; role is full-time, in-person in San Francisco.

Own technical enablement for account executives and field development engineers, including onboarding, ongoing training, demo coaching, technical content, hands-on labs, and scalable self-service infrastructure. Translate complex product capabilities into credible seller resources, collaborate with product teams, gather field feedback, measure content effectiveness, and use AI to improve enablement workflows. The role requires building the enablement function and onboarding systems from the ground up.