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

Own the AI research roadmap from problem identification through production deployment. Develop LLM and deep learning methods for legal text reasoning, extraction, drafting, redlining, hallucination mitigation, explainability, and efficient inference. Build evaluation datasets and benchmarks, assess emerging techniques, collaborate with Engineering and Product, and communicate findings to technical and non-technical audiences.

Manage enterprise SaaS customer relationships from onboarding through renewal and expansion. Develop success and recovery plans, drive product adoption, resolve issues, provide training and demonstrations, conduct business reviews, and advocate for customer needs internally. The role requires strategic account ownership, strong communication, retention planning, value-based selling, and experience supporting mid-market and enterprise customers.

Conduct applied AI research for legal technology, focusing on LLMs, deep learning, long-context reasoning, contract analysis, information extraction, hallucination mitigation, explainability, and model evaluation. Own research roadmaps, design experiments, build benchmarks, develop prototypes, and ship successful approaches into production with Engineering and Product. Communicate findings to technical and non-technical stakeholders.

Build scalable backend systems that process and analyze millions of contracts. Design pipelines orchestrating LLMs, data extraction, and clustering algorithms; develop highly accurate search and retrieval systems; and collaborate with lawyers and product teams to create AI-powered contract solutions.

Build and operate multi-cluster, multi-region Kubernetes infrastructure across AWS, GCP, and Azure. Develop infrastructure tooling, CI/CD pipelines, isolated workloads, security controls, observability, SLOs, disaster recovery, and automated engineering workflows. Lead incident response, debugging, root-cause analysis, and postmortems while improving system reliability, performance, and uptime.

Own key areas of Ivo’s AI contract intelligence platform from discovery through launch and iteration. Partner with engineering, design, sales, and customer success to understand legal workflows, define product strategy, translate evolving LLM capabilities into customer-focused solutions, prioritize roadmaps, write specifications, and measure product success.

Leads and scales Ivo’s SDR function by hiring, training, coaching, and managing pipeline performance. Builds outbound sequences, messaging, processes, dashboards, and playbooks; oversees inbound lead follow-up and opportunity handoffs; partners with Marketing and Sales; manages event-generated pipeline; and develops SDR skills, accountability, and conversion performance.

Manage a high-volume SMB customer portfolio, driving onboarding, product adoption, retention, and proactive risk intervention. Build scalable engagement resources such as email sequences, help articles, webinars, and playbooks. Monitor customer health metrics, resolve support issues, capture feedback, and collaborate with Product and Engineering. The role requires strong communication, data-driven prioritization, resourcefulness, and comfort working in a fast-growing startup.

Own renewals, expansions, and strategic growth across major enterprise accounts. Build relationships with users, executives, budget owners, and stakeholders; develop account strategies and business cases; identify adoption and expansion opportunities; lead procurement, legal review, negotiation, and closing. Partner cross-functionally with customer success, solutions architecture, product, finance, and legal teams to deliver measurable customer outcomes and establish long-term enterprise partnerships.

Build backend systems that process and analyze millions of contracts, orchestrate LLM and data-extraction pipelines, develop scalable clustering and retrieval systems, and collaborate with lawyers and product teams. The role emphasizes pragmatic engineering, resourcefulness, urgency, product impact, and working effectively in a fast-growing startup environment.