Top Tech Jobs & Startup Jobs

Own a major enterprise transformation platform area end to end, including strategy, roadmap, execution, enablement, customer discovery, and metrics. Drive products from concept through launch while improving production offerings. Partner closely with engineering on prioritization, specifications, and technical tradeoffs; shape AI agents, context graphs, and playbooks for transformation stakeholders. Represent the company with customers, partners, and the market through briefings, events, and written content.

Own a major enterprise transformation product area end-to-end, including strategy, roadmap, execution, enablement, metrics, and customer outcomes. Drive both 0-to-1 launches and scaling of production products, partner closely with engineering and design, define AI agent experiences, translate customer needs into specifications, and represent the company with customers, partners, and the broader market.

Support PMO governance across multiple projects and programs by maintaining plans, RAID logs, status reports, dashboards, milestones, risks, and dependencies. Coordinate reporting cadences, stakeholder meetings, steering committees, and action tracking. Assist with resource planning, capacity and utilization reporting, budget tracking, forecasting, and variance analysis. Identify process gaps and drive continuous improvement across delivery operations.

Generate outbound and inbound pipeline through email, phone, and LinkedIn prospecting; build account targeting, messaging, and sequencing from scratch; qualify leads and hand them to account executives; support discovery calls with research and account mapping; evaluate prospecting tools; document repeatable sales plays; and provide market feedback on AI infrastructure buyers, objections, and competition.

Lead product marketing strategy for an early-stage startup by developing foundational positioning, messaging architecture, category narrative, urgency frameworks, customer proof programs, and executive storytelling. Partner cross-functionally with product, sales, executives, analysts, influencers, and customers to establish market credibility, communicate business value, and support go-to-market growth from early adopters to mainstream buyers.

Own customer-facing product management for enterprise ERP and IT transformation programs. Engage stakeholders to identify risks, dependencies, and inefficiencies; build analytical artifacts and AI-driven analysis specifications; translate customer insights into scalable product capabilities; support pre-sales, pilots, and proof-of-concept engagements; and inform the product roadmap through customer feedback.

Own forecasting, pipeline analytics, revenue dashboards, GTM technology, data infrastructure, and reporting. Build the company’s AI agent foundation by identifying automation opportunities and deploying production-grade agents across the sales organization. Partner with Sales Operations to maintain data integrity, define pipeline logic, and support forecasting. Design quota models and administer compensation plans while building and leading the Revenue Operations team in an early-stage B2B software environment.

Build and support scalable backend applications and enterprise software using Python, REST APIs, microservices, relational databases, cloud platforms, and modern deployment practices. Design reliable, observable, performant, and cost-efficient systems; collaborate with product management and distributed teams; contribute to technical decisions; and support production services. Experience with LLMs, generative AI, retrieval-augmented generation, vector databases, AI agents, Kubernetes, infrastructure as code, and observability is preferred.

Drive new business and strategic growth across enterprises with $1B+ in annual revenue, generating pipeline and closing complex $250k+ ACV deals. Manage C-suite and executive stakeholders, use structured enterprise sales methodologies, execute direct and channel sales, negotiate contracts, and collaborate with Product, Marketing, and Customer Success in a high-growth AI startup.

Own end-to-end product quality from requirements review through release and production follow-up. Build and maintain Python-based Robot Framework and Playwright automation for UI, API, integration, and end-to-end testing. Validate backend data with SQL, integrate tests into CI/CD pipelines, investigate failures, and support defect root-cause analysis. Collaborate with product, engineering, and design teams while contributing to testing AI-enabled features, including LLM and RAG experiences.