Top Tech Jobs & Startup Jobs

Own full-cycle technical recruiting for engineering, machine learning, and infrastructure roles. Partner with technical leaders and executives to define hiring needs, build recruiting processes, source passive candidates, and close talent in competitive AI and ML markets. The role also involves developing interview loops, top-of-funnel strategies, recruiting infrastructure, and community-building initiatives as an early member of the recruiting team.

Lead and grow a product-focused engineering team while remaining hands-on. Responsibilities include hiring and mentoring engineers, shipping user-facing products, building scalable audio data processing pipelines, architecting high-capacity data systems, setting technical direction with the CTO, and leading zero-to-one product development. The role requires regular coding, strong web development skills, and experience scaling products and teams in a high-growth startup environment.

Own the conversational intelligence layer for an agentic travel platform. Responsibilities include designing agent architecture, prompts, tool calling, state and memory systems, ranking and retrieval, personalized recommendations, streaming, error recovery, model-provider strategy, evaluation systems, and rendering. The role requires production experience with LLM-powered systems, diagnosing reliability issues, and improving quality through user evidence. It is a full-time hybrid position based regularly in New York City.

Own the full sales cycle for an AI-powered corporate compliance platform, from self-sourced prospecting and discovery through demonstrations, negotiation, and close. Sell to General Counsel, CFOs, Corporate Secretaries, and compliance leaders while maintaining pipeline, activity, conversion, and quota metrics. Partner with BDRs as inbound demand grows, continue self-sourcing approximately one-third of pipeline, and travel for prospect meetings and industry events.

Own end-to-end product design for complex, data-heavy legal software, including research, workflows, dashboards, tables, AI interactions, prototypes, and production delivery. Partner with lawyers, administrative users, engineering, and product leadership to clarify complex work, shape product strategy, and launch polished experiences.

Conduct original research on reliable agentic AI, developing methods for simulation, evaluation, optimization, regression control, and continuous learning. Analyze agent failures, traces, and human feedback; create experiments and prototypes; and translate research into production-facing systems. Collaborate with product and engineering teams, contribute to technical strategy, and provide rigorous experimental evidence. The role requires strong research depth, publication or open-source contributions, hands-on Python development, and expertise in LLM agents or agentic systems.

Own full-funnel growth and performance marketing for an enterprise B2B SaaS company. Responsibilities include managing paid media and ABM programs, building attribution and reporting infrastructure, optimizing campaigns, managing a seven-figure budget, maintaining the martech stack, and partnering with sales to drive pipeline, revenue, CAC, ROAS, and payback outcomes.

Conduct high-volume outbound prospecting to enterprise and mid-market accounts through calls, email, and LinkedIn. Build prospect lists, research senior marketing and insights leaders, develop creative account-entry strategies, and partner with Account Executives and revenue teams to improve go-to-market messaging. The posting also describes owning new product verticals end to end, including customer acquisition, onboarding, implementation, pricing, and process development.

Own backend-heavy product and platform engineering from design through production. Build and scale distributed systems supporting large-scale mortgage transactions, design reliable infrastructure for regulated workflows, contribute to architecture and engineering standards, and collaborate with product, infrastructure, and platform teams. Use AI coding tools while maintaining rigorous human review and correctness.

Own the full enterprise sales cycle for an AI software platform, from qualified opportunity through close. Build pipeline, sell to executive buyers in regulated organizations, develop business cases, forecast against a $1M+ quota, and expand strategic accounts. Partner with sales, marketing, customer success, and product teams to improve positioning, pricing, and roadmap decisions. The role is fully onsite in New York City and includes periodic travel.