Top Tech Jobs & Startup Jobs

The Strategic Projects Lead will manage and drive AI-related projects, optimize talent deployment, improve internal processes, and enhance customer relationships in a fast-growing environment.

Own retention and growth for a mid-market book: run renewals, identify expansion opportunities, upsell/cross-sell, lead executive value conversations, forecast renewals, partner with CSMs, present data-driven QBRs, and serve as escalation and commercial relationship owner.

Own end-to-end relationships for $100M+ frontier AI lab accounts, translating ambiguous goals into clear priorities, partnering with delivery teams, making high-judgment tradeoffs, driving expansion and renewal, and defining KPIs and SLAs to ensure customer and leadership alignment.

The Engagement Management Lead will drive customer relationships by managing the full engagement lifecycle, ensuring successful implementation, and translating customer needs into actionable programs.

Manage a team of Strategic Project Leads in delivering high-stakes AI data projects while ensuring operational excellence and performance metrics.

Build AI-driven workflows, automations, and agents for GTM teams; mine and score prospect signals; implement and maintain Salesforce- and warehouse-integrated systems using Python, SQL, BigQuery, Clay, and orchestration tools; own end-to-end delivery, monitoring, and documentation.

Build and operate shared ML/AI infrastructure: data pipelines, feature stores, training, model serving and LLM platform work. Scale inference and training (GPU, batching, autoscaling), enable evaluation and post-training workflows, and partner with AI, data science, and product teams to productionize models and improve platform reliability and developer experience.

The Mid-Market Account Executive will manage a full-cycle sales process, connecting employers to students while exceeding quotas and building relationships with executives.

The Senior Applied AI Engineer will develop AI-driven solutions for enterprise customers, embedding directly with them, owning full stack AI delivery, and iterating on performance. Responsibilities include defining solutions, building production-grade agents, conducting evaluations, and establishing best practices.

Provide Tier 1 and Tier 2 IT support for a distributed workforce across hardware, SaaS, identity systems, and collaboration tools. Administer onboarding/offboarding, endpoint management, software provisioning, asset tracking, and IAM. Maintain documentation, partner with Security on device compliance, assist in incident response, and identify automation opportunities to improve IT operations.