Top Tech Jobs & Startup Jobs

Build and operate production API integrations, data pipelines, and backend systems using Python and workflow orchestration tools. Own projects from requirements through testing, rollout, and monitoring; investigate production issues and improve reliability. Collaborate with senior and forward-deployed engineers to turn customer insights into product capabilities. The role is hybrid, requiring three days weekly in the Midtown Manhattan office.

Build the fintech company’s MVP end to end across web, mobile, backend, data, infrastructure, and AI agents. Own architecture, cloud, security, observability, regulated money movement integrations, and compliance guardrails. Establish engineering standards, coordinate contract engineers, and ship reliable production systems quickly. The role begins as the first technical hire with a path toward technical leadership.

Own customer-facing computer vision deployments from proof of concept through production adoption and maintenance. Build data pipelines, edge-device systems, models, and infrastructure using Python, Docker, Kubernetes, Linux, NVIDIA Jetson, and MLOps. Troubleshoot physical-environment challenges such as lighting, calibration, model drift, networking, and hardware constraints. Work onsite with customers, communicate with technical and executive stakeholders, document architectures, and relay field insights to Product and Engineering. The role requires 40%–50% travel.

Own an end-to-end B2B SaaS product area, from customer discovery and strategy through roadmap, delivery, launch, and iteration. Partner with mortgage lenders, engineers, designers, Sales, and Customer Success to identify problems, define specifications, influence architecture, integrate third-party APIs, prototype with AI tools, and use metrics to guide decisions. This is an individual-contributor role requiring technical fluency and zero-to-one product launch experience.

Work directly with both founders to execute strategic initiatives across go-to-market, product, recruiting, and operations. Build and scale outbound and GTM systems, translate founder and customer insights into action, lead cross-functional special projects, create repeatable processes, and use AI tools and automation to increase team leverage.

Research Product Manager focused on AI model capabilities, evaluations, experiments, and synthetic-data programs. The role partners with frontier AI researchers to identify capability gaps, design benchmarks, conduct literature reviews, implement state-of-the-art research, and manage short-term projects through weekly data releases. Candidates will translate ambiguous technical requests into research plans, coordinate researchers and external contributors, and deliver end-to-end technical projects in an on-site, early-stage environment.

Lead discovery, design, launch, and expansion of AI agent deployments for enterprise customers. Manage 1–3 strategic accounts, translate operational workflows into AI agent designs, coordinate with delivery engineers, support go-live, and build executive relationships. The role requires enterprise software implementation experience, technical comfort with LLM APIs and data tools, strong communication, 30% travel, and a five-day onsite schedule.

Own and grow strategic OEM relationships through complex hardware product-development cycles from technical qualification through production. Serve as the primary bridge between customers and engineering, product, operations, legal, and supply-chain teams. Coordinate milestones, design tradeoffs, commercial changes, negotiations, and executive communication while building account-management processes for a new function. This senior individual-contributor role requires technical credibility, strategic account ownership, and approximately 50% international travel.

Build and own the company’s demand generation engine across enterprise account-based marketing and scalable in-house finance campaigns. Responsibilities include full-funnel campaign strategy and execution, paid and outbound programs, conversion optimization, lead routing, attribution, pipeline reporting, and collaboration with Sales, BDR, and Revenue Operations. The role establishes scalable playbooks and infrastructure while driving qualified pipeline and marketing-qualified leads as the first dedicated demand generation hire.

Partner with the CEO to scale claims operations by designing processes, workflows, hiring systems, and data-driven operating models. Lead strategic initiatives and cross-functional problem solving across product, engineering, claims, and business teams. The role requires independently structuring ambiguous problems, improving operational performance, and driving high-impact initiatives through implementation in a fast-growing AI-native insurance company.