Top Tech Jobs & Startup Jobs

Build and operate a mid- and bottom-funnel pipeline content engine: create ebooks, guides, whitepapers, ROI tools, and landing pages; own positioning, messaging, newsletter, editorial workflows, AI-native production, distribution, and measurement to drive qualified pipeline for senior accounting leaders.

Manage demand planning, site merchandising, forecasting, promotional calendars, and performance reporting for e-commerce clients. Partner with management and project teams to improve profitability, drive incremental growth, and deliver data-driven insights to optimize marketplace sales.

Lead architecture and build a data-intensive, customer-facing product stack from backend data pipelines and cloud warehouses to frontend application surfaces. Own technical direction, implement durable software abstractions replacing manual services, ensure quality and reliability, and hire/mentor a small engineering and data team. Translate complex healthcare and practice-management data into usable tools for clinic staff.

Lead end-to-end people operations for a fast-growing healthcare startup: manage employee relations, payroll/benefits/PEO administration, accommodations, terminations, and compliance. Build scalable clinician lifecycle and performance management systems, support compensation planning, and establish corporate people processes. Act as the first people ops hire, balancing hands-on execution with designing repeatable systems to scale to 1,000+ clinicians.

Founding Engineer to own and build the AI stack and technical foundation for a startup serving independent freight brokers. Responsibilities include integrating LLMs/AI across quoting, carrier sales automation, email triage, building fraud prevention systems, embedding with users to iterate quickly, and establishing architecture, deployment, and CI/CD practices.

Owner of cross-functional analytics projects: build and maintain dbt models, write advanced BigQuery SQL, create BI dashboards (Omni/Power BI), monitor data quality, define metrics, enable stakeholder decisions, and use AI tools to accelerate analysis and QA.

Build and own AI-native backend systems for patient access: design LLM-driven agents, PHI-aware data pipelines, integrations with healthcare systems, production orchestration, and operational SLAs; partner with ops, IT, and clinical teams through discovery, UAT, and go-live.

Lead technical vision, strategy, and execution for an e-learning platform and suite of products. Own roadmap, OKRs, system monitoring, data integrity, security, accessibility, and AI/LLM feature development. Manage one product team member and vendor relationships (external dev agency, hosting, accessibility/security partners). Drive cross-functional alignment with Education, Partnerships, and Operations to deliver scalable, compliant, AI-enabled products.

Sell an AI-driven cloud observability platform on-site in San Francisco by building relationships, qualifying opportunities, presenting demos, negotiating contracts, and guiding customers through onboarding and adoption while collaborating with internal teams.

Own post-sale execution for SMB platform customers: manage integration and launch of embedded AI bookkeeping, onboard SMBs, support GTM with partners, and ensure customer success through hands-on execution and stakeholder management.