Top Tech Jobs & Startup Jobs

Build and maintain integrations across AI frameworks, MCPs, SDKs, and developer platforms. Ship plugins, connectors, templates, and agent tooling that let developers access Nimble. Contribute to open-source, publish examples, engage developer communities, and support partnerships and events to drive adoption.

Provide high-trust executive and personal support to the CEO—manage calendar, travel, confidential matters, and act as gatekeeper—while running day-to-day office operations, vendors, onboarding, policies, and US office budgets.

Lead and own core backend infrastructure and scalable data pipelines. Build reliable services (Node.js/TypeScript/Python/Go), CI/CD, observability, and developer tooling. Drive architecture, mentor engineers, and champion AI-native workflows and engineering standards across the organization.

Manage a portfolio of enterprise customers to drive adoption, retention, and expansion. Build relationships with technical and executive stakeholders, run QBRs, monitor health signals, mitigate risks, influence product roadmap, and build enterprise business cases demonstrating ROI for Nimble's web search agent platform.

Lead and set strategy for global cloud, security, and delivery lifecycle. Own cloud architecture, SDLC (with AI/AIOps), FinOps, vendor contracts, and compliance. Develop the DevOps leadership bench and partner with cross-functional execs to scale infrastructure and operational practices for rapid growth.

Provide hands-on technical support for customers using Nimble's APIs and data collection platform. Troubleshoot integrations, API and web extraction issues (captchas, bot detection, geo-restrictions), guide onboarding and implementation, investigate issues using logs and diagnostics, escalate and validate fixes with Product and Engineering, create documentation and knowledge base articles, and drive improvements to support processes and platform reliability.

Lead technical pre-sales engagements: discover customer needs, design and present API- and Python-based solutions, run demos/POCs, create proposals and reusable demo assets, and collaborate across Sales, Product, and Engineering to drive adoption and expansion.

Manage a portfolio of enterprise customers to drive adoption, retention, expansion, and renewals. Build cross-functional relationships, run QBRs, monitor customer health, mitigate risks, escalate product feedback, and act as strategic advisor to maximize platform value and ROI.

Manage a portfolio of enterprise customers to drive adoption, retention, and expansion. Build executive relationships across data, engineering, product and BI; run QBRs; monitor customer health signals; escalate product gaps to engineering; and identify growth opportunities to maximize platform value.

Manage a portfolio of enterprise customers to drive adoption, retention, renewals, and expansion. Build stakeholder relationships across data, engineering, product, and BI. Run QBRs/EBRs, monitor customer health, mitigate risks, influence product roadmap, and translate technical capabilities into measurable business value.