Top Tech Jobs & Startup Jobs

Lead and develop a team of 6-8 account managers to deliver exceptional client service for enterprise accounts. Manage team operations and KPIs, implement scalable workflows and playbooks, drive process innovation, partner cross-functionally, resolve escalations, and build trusted client relationships to maximize retention and portfolio growth.

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.

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.

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.

Own digital media reporting and measurement by building Power BI dashboards, defining KPIs, identifying trends, designing experiments, supporting data clean room and incrementality initiatives, and writing SQL queries for cross-platform insights. Collaborate with engineering on data pipelines and tracking frameworks, then communicate actionable recommendations to technical and non-technical stakeholders.

Lead platform engineering initiatives and provide architectural direction for internal developer platforms, build systems, CI/CD pipelines, release automation, and cloud-native infrastructure. Improve software delivery through automation and AI-enabled engineering capabilities while ensuring scalability, reliability, security, and maintainability. Evaluate technologies, collaborate across teams, mentor engineers, and guide technical decisions.