Top Tech Jobs & Startup Jobs

Leads company-wide operational excellence during rapid growth, building scalable processes and coordinating Finance, Legal, People, IT, InfoSec, Compliance, and business operations. The role resolves complex cross-functional problems, supports leadership decisions, anticipates operational risks, and builds a high-performing operations team. Candidates need high-growth and global operating experience, broad ownership across multiple back-office functions, and strong people leadership. Experience in AI, data, or developer tools is advantageous.

Lead Prior Labs’ SAP partnership and go-to-market motion for TabPFN, enabling SAP sellers, shaping co-sell and commercial frameworks, managing lighthouse accounts, developing industry use cases, and extending partnerships across hyperscalers, marketplaces, and systems integrators. Own joint business and pipeline plans, reporting, and build a specialist partnerships team while working with data science and ML buyers.

Own the delivery of TabPFN model releases across SAP, cloud marketplaces, and customer environments. Partner with engineering and enterprise platform teams, define integration roadmaps, recommend new channels, coordinate multi-team launches, and support listings, documentation, testing, and occasional code contributions. The role also helps shape SAP integrations and build the integration engineering team while reporting to the CTO.

Lead and scale the engineering organization, including management development, hiring operations, engineering standards, delivery velocity, and security compliance. Own platform and deployment capabilities across managed APIs, customer VPCs, and self-hosted models. Partner with SAP on engineering initiatives and advise founders on organizational design and technical direction. This is a hands-on leadership role requiring experience managing engineers, operating infrastructure at scale, and working across startup and large-enterprise environments.

Works directly with founders and the Chief of Staff to execute growth, sales enablement, automation, expansion, and people operations initiatives. Responsibilities include managing inbound pipelines, improving scoring and routing, building reporting, creating sales assets, tracking POCs, automating internal workflows across HRIS, CRM, Notion, and Slack, supporting office expansion, improving onboarding and hiring operations, and building internal tools used across the company.

Six-month Visiting Associates own a defined business function within Growth and Sales Enablement, Marketing and Community, People Operations, or Hiring. Responsibilities may include pipeline automation, reporting, social media, content production, events, onboarding, office expansion, sourcing, ATS management, and recruiting process design. Associates work directly with the founders’ office in a fast-scaling AI company and are expected to operate with high agency, structure, clear communication, and an AI-first approach.

The Founder Associate works directly with the founders and Chief of Staff to execute growth, sales enablement, automation, and people operations initiatives. Responsibilities include managing inbound pipeline systems, automating workflows across HRIS, CRM, Notion, and Slack, creating sales materials, tracking POCs, improving onboarding, and supporting hiring operations. The role requires high agency, strong analytical and communication skills, and the ability to rapidly build and deploy AI-first tools in an onsite startup environment.

The Senior ML Infrastructure Engineer will own and optimize GPU infrastructure for training tabular foundation models, ensuring high efficiency and collaboration with research teams.

As an ML Engineer, you'll deploy models and create tailored AI solutions for clients, ensuring impactful integrations and customer success.

Lead research on tabular foundation models: invent new methods and tooling, set research direction, build real-world benchmarks and datasets, implement baselines, and create automated agentic pipelines with human-in-the-loop to scale evaluation and production use.