Top Tech Jobs & Startup Jobs in San Diego, CA

Own the technical direction, architecture, and delivery of Benchling’s enterprise agentic AI portfolio. Build production systems integrating foundation models, orchestration, tools, memory, evaluation, observability, security, and workflow automation. Establish CI/CD, testing, deployment, and governance practices; graduate prototypes into reliable systems; and provide production support. Enable internal teams through SDKs, templates, coaching, and standards while partnering with product, data, infrastructure, and security teams. Lead technical hiring and mentor engineers as a hands-on founding engineer.

Generate new enterprise business in the West through territory and account planning, prospecting, partner engagement, and consultative selling. Manage proof-of-concept evaluations, close software+services deals to meet quota, work with marketing and professional services for customer success, and drive pipeline via events and partner channels.

Implement, administer, and support mission-critical media production and enterprise IT systems for news and live production. Gather requirements, deploy media/video infrastructures, provide 24/7 technical support and incident response, maintain documentation, ensure cybersecurity compliance, and lead complex projects to meet stakeholder needs.

Own and grow enterprise accounts by prospecting, building pipeline, and closing new business. Consult senior executives, develop partnership strategies, exceed revenue targets, and provide market feedback to improve product-market fit.

Drive revenue for Block’s payments products by acquiring and expanding mid-market merchant relationships. Lead commercial negotiations, develop deal strategies, manage sales pipelines and forecasts, communicate value propositions to senior executives, and close new business. Collaborate with Marketing, Finance, Product, Risk, Legal, Operations, and Customer Service teams to launch initiatives and build long-term partnerships.

Own the end-to-end People data and AI ecosystem, including pipelines, governed data models, predictive analytics, engagement survey analysis, and agentic AI workflows. Build production systems using Python, SQL, orchestration tools, cloud warehouses, LLMs, and evaluation frameworks. Establish technical standards, privacy guardrails, and human oversight for sensitive workforce data while translating analyses into actionable leadership decisions. Lead through architecture, code, design reviews, and mentorship without managing a team.

Own complex Banking design initiatives from exploration through launch, including zero-to-one financial products and improvements to existing experiences. Set the quality bar for interaction, visual, and systems design while translating financial and regulatory complexity into clear, trustworthy experiences. Partner with Product, Engineering, Risk, Compliance, and Research; prototype with AI and emerging tools; shape product vision and design systems; and mentor designers through critique and hands-on example.

Serve as Grainger's on-site metalworking expert in machining, welding, and grinding. Perform process and product assessments, educate customers on technology, collaborate with sales teams and suppliers, document cost savings, and drive territory sales growth using Salesforce and CRM tools.

Lead technical sales cycles for enterprise AI agent deployments: discovery, solution design, demos, POVs, and technical close. Advise on agentic stacks (Databricks, Snowflake), design POVs with success criteria, build technical champions, run architecture reviews, and align technical strategy with commercial goals to drive revenue growth.

Leads a 20-plus-person distributed Review Engineering organization across three agile squads. Owns technical direction, production reliability, incident response, system scalability, delivery metrics, hiring, performance management, and engineering career growth. Partners with Product, Design, Security, Clinical Operations, and peer engineering teams to deliver reliable, secure, high-quality systems in a regulated healthcare environment.

Designs and delivers large-scale, governed data pipelines and infrastructure across the full data lifecycle. Responsibilities include coding in Python and SQL, optimizing Airflow, dbt, AWS, Kafka, and Iceberg/Parquet workflows, implementing data quality and observability, contributing to architecture and tool evaluations, mentoring engineers, collaborating with stakeholders, and participating in on-call support.

Provide phone-based customer service to policyholders and third parties: explain policy coverage and claim status, process requests via calls, emails, and correspondence, maintain procedures and department call/time standards, and assist with claim payments.

Reviews and processes incontestable life insurance claims according to policy provisions and company procedures. Responsibilities include conducting coverage and policy reviews, evaluating investigative referrals, updating claim systems, communicating with beneficiaries and third parties, documenting claim progress, escalating complex cases, and meeting production and quality standards in a remote environment.

Manage high-volume pre- and post-sales marketing deliverables, translating AI, data, identity, and platform capabilities into client narratives, proposals, presentations, and enablement materials. Partner cross-functionally on product marketing, positioning, sales training, field marketing, events, and thought leadership. Develop scalable collateral libraries and explore AI-powered tools and workflows to improve marketing and sales efficiency.

Lead the Client Success team focusing on revenue growth and operational efficiency. Develop workflows, mentor team members, and enhance client relationships while ensuring team accountability and performance.

Lead a hands-on software engineering effort for Zeta’s real-time events pipeline. Design, build, deploy, and operate high-volume event ingestion, processing, and delivery systems. Own architecture, reliability, observability, performance, cost, data quality, and on-call improvements. Collaborate with Product, Data, and downstream platform teams, define stable interfaces and SLAs, evaluate technologies, lead production launches, and mentor engineers through design and code reviews.