Top Tech Jobs & Startup Jobs

Partner with NP practices to lead onboarding, growth, and retention by analyzing practice data, building financial models and forecasts, delivering tailored operational recommendations, advocating customer needs cross-functionally, tracking NPS and renewals, and helping scale playbooks, templates, and processes for customer success.

Mid-level individual contributor who discovers and documents manual workflows, designs and builds reliable automations using SQL, Python, APIs and AI tools, integrates systems, monitors and maintains automations, and measures impact to reduce manual effort and errors across cross-functional teams.

Drive charter-sector growth end-to-end: generate pipeline via outbound outreach and events, manage deals from discovery to close, negotiate contracts, enter data into Hubspot/TABS, and coordinate handoff to customer success and implementation teams.

Lead design, build, deployment, and maintenance of production-grade GenAI systems (LLM apps, agentic workflows, RAG, retrieval, and evaluation). Architect scalable ML services, implement model serving and observability, optimize latency and cost, fine-tune LLMs, translate prototypes to production, mentor engineers, and produce runbooks and documentation.

Build and scale backend systems and cloud-native infrastructure for large-scale ML workloads. Implement distributed training/inference pipelines, developer tools, and observability for GPU-heavy jobs while collaborating with ML engineers.

Join an early engineering hire at a growing SaaS platform for online communities. Scope and deliver new features, write modular TypeScript/React code, enable AI coding agents, monitor production, and troubleshoot issues while influencing product direction and improving platform scalability and developer experience.

Manage accurate tracking, auditing, and entry of seminar and campaign data, calculate ROI and conversion metrics, update CRM and marketing platforms, verify appointments, support 90-day event planning and timelines, and produce clear event documentation and internal communication.

Lead ML/NLP work across recommender systems, taxonomies, and agentic AI solutions. Prototype models, advise on data science strategy, mentor teammates, and deliver production-ready, well-documented ML pipelines and insights.

Lead end-to-end customer experience, delivery, inventory, and retail operations. Own CSAT, delivery metrics, and cost per delivery. Build dashboards, improve workflows, manage 3PLs and retail partners, roll out tools and automations, and coordinate across Product, Ops, and Engineering to raise service standards and operational reliability.

Lead Partnerships/GTM to acquire and support enterprise healthcare clients: manage relationships, shape terms, close deals, ensure onboarding and satisfaction, run cross-functional projects, and build scalable GTM systems to drive growth.