Top Tech Jobs & Startup Jobs

Develops system-level validation for advanced MEMS IMUs by defining test plans, pass/fail criteria, and release-readiness coverage. Performs characterization, assembly, troubleshooting, and testing of electronic hardware and instrumentation. Analyzes and presents results, manages configuration and production documentation, supports engineering changes, and prepares prototypes for qualification. Collaborates cross-functionally on requirements flow-down, system integration, and transition to low-rate production.

Lead the strategy, roadmap, and optimization of Finance Technology supporting strategic finance and FP&A. Own enterprise planning, forecasting, reporting, automation, financial modeling governance, and AI enablement. Translate finance needs into scalable technology solutions while partnering with Finance Systems, Data & Analytics Engineering, HR Systems, IT, and vendors. Evaluate investments, lead planning system implementations, manage cross-functional initiatives, and improve forecast accuracy, productivity, and decision-making.

Build and scale Onebrief’s agentic design system platform, including components, utilities, documentation, governance, automated intake, evaluation, release QA, and production telemetry. Lead moonshot projects focused on agentic customer experiences, establish appropriate human-review gates, integrate systems with Docker, Kubernetes, AWS EKS, and GitHub CI/CD, and advise design leadership on strategy and roadmap. The role requires cross-functional leadership, technical judgment, and playbook creation in an ambiguous environment.

Own the measurement and improvement of model learning from tasks. Collaborate with frontier labs to design post-training recipes and data-quality techniques, run in-house evaluation systems, develop datasets and data products, assess acquired data, and build scalable ingestion and evaluation systems. The role requires production reinforcement learning experience at a frontier lab and end-to-end LLM post-training expertise.

Develop and manage financial models for strategic investments, M&A, debt issuance, products, and profitability decisions. Own budgeting, forecasting, monthly close, annual planning, and variance analysis for selected departments. Serve as a finance business partner and P&L owner, support senior leadership and investor relations, and lead adoption of AI tools for finance modeling, reporting, and analysis.

Analyze transaction enrichment product performance, data quality, accuracy, match rates, and other metrics. Investigate anomalies in large datasets, build dashboards and automated alerts, improve QA processes and workflows, and develop documentation and monitoring standards. Partner with Product, Engineering, and AI/ML Data Science teams to translate insights into product improvements and automate recurring analytical work.

Supports product strategy and roadmap execution by shaping Epics, prioritizing and refining backlogs into Stories, negotiating requirements, and communicating product vision. Collaborates with product managers, development, design, marketing, support, professional services, and customers to provide context, align stakeholders, manage risks, and maintain delivery transparency. Requires technical product ownership, project coordination, customer empathy, and effective use of collaboration, analytics, documentation, and AI productivity tools.

Build, test, debug, and ship web and mobile product features alongside senior engineers. Design AI-powered automation, analyze usage data with data analysts, iterate rapidly with AI-assisted development, and learn new languages, frameworks, and development practices. The role requires in-person work at the San Francisco SOMA office three to four days per week.

Own the end-to-end architecture, development, deployment, evaluation, and operations of AI and machine learning systems. Build predictive ordering models, agentic workflow copilots, retrieval and evaluation infrastructure, safety guardrails, and responsible AI practices. Prioritize AI initiatives based on business outcomes, establish model governance and production standards, advise product and engineering leadership, and mentor experienced contributors.

Leads growth engineering for Hiya’s web presence, translating marketing strategy into high-converting experiences. Responsibilities include migrating Webflow to a headless CMS, architecting React and Next.js systems, optimizing performance and SEO, implementing analytics and experimentation, integrating AI and third-party APIs, and scaling localized websites across global markets. The role owns website KPIs, attribution, conversion optimization, accessibility, and collaboration across marketing, product, CRM, and PLG initiatives.