Top Tech Jobs & Startup Jobs

Design, build, and steward predictive and GenAI solutions: feature identification, data acquisition/preparation, hypothesis testing, LLM context creation (embeddings, vectorization, RAG), model development, prompt engineering, integrations (front-end/back-end), testing, CI/CD, and collaboration with stakeholders to deliver and iterate data science projects.

Lead enterprise sales across the US, develop and execute strategic sales plans, manage key accounts and partnerships, build pipeline, oversee end-to-end sales cycles, and collaborate cross-functionally to drive revenue and market share growth.

Identify and research target accounts, perform outbound prospecting via calls, email, and LinkedIn, qualify leads, schedule demos for Account Executives, maintain CRM data (HubSpot), and meet activity and pipeline generation targets.

Provide high-level, proactive administrative support to executive leadership, managing complex calendars, travel, meetings, and communications. Coordinate events, office operations, and cross-functional projects, prepare presentations and reports, track action items, and handle sensitive information with discretion while improving processes and ensuring alignment across stakeholders.

Manage a portfolio of enterprise customers across APAC to drive retention, satisfaction, and growth. Own onboarding, client journey optimization, executive reviews, cross-functional alignment, and playbook-driven communications. Monitor usage metrics, identify process improvements, and act as client advocate to shape product and service delivery.

Own visual and interaction design for a B2B SaaS platform: define a unified design language and scalable Figma design system, produce wireframes, prototypes, and high-fidelity screens, run user interviews and usability testing, simplify data-heavy workflows, collaborate with PMs and engineers, and iterate based on user feedback to improve onboarding and enterprise usability.

Support data operations by entering, cleaning, validating, and documenting procurement and supplier spend datasets; implement basic data governance policies, perform routine audits, flag anomalies, and prepare data for analytics and reporting while collaborating with global teams.