Jobs at Prior Labs

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.

Lead company-wide operations, build scalable processes, partner with finance, people, legal, IT/InfoSec and compliance, resolve cross-functional issues, and grow an operations team to support rapid global scaling.

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.

Own day-to-day execution of the SAP partnership across technical, research, and commercial workstreams. Track commitments, coordinate engineering and research capacity, support joint scoping, co-selling, pricing, packaging, and commercial terms, and maintain accurate partnership records. Onboard SAP stakeholders, identify stalled initiatives, escalate delivery-capacity risks, and help build scalable partnership processes, playbooks, and templates.

Owns day-to-day partnerships with cloud providers, data and analytics vendors, and system integrators. Responsibilities include tracking commitments, coordinating technical resources, structuring co-sell and referral agreements, supporting pricing discussions, maintaining CRM records, aligning partnerships with sales and technical teams, onboarding partners, improving underperforming relationships, and developing scalable partnership playbooks.

Own end-to-end hiring for US go-to-market and operations teams: source enterprise sales, partnerships, finance, and compliance talent; run structured interviews with clear rubrics; manage ATS pipeline and weekly metrics; negotiate and close offers including variable comp and equity; coordinate multi-hub (US/EU) hiring, relocation, and visa considerations.

Own end-to-end hiring for US go-to-market and operations functions: source and assess enterprise sales, partnerships, finance, and compliance talent; run structured interview loops, manage ATS pipeline and metrics, negotiate offers including variable comp and equity, and coordinate multi-hub US/EU hiring and occasional relocation/visa work.

Own end-to-end technical recruiting for research, engineering, and forward-deployed engineering: source globally, screen technical depth, run structured interview loops with rubrics, manage ATS pipeline and metrics, negotiate and close offers against top-tier frontier-lab packages, and coordinate multi-hub hiring across Freiburg, Berlin, and New York.

Own and consolidate Prior Labs' partner portfolio, manage the SAP strategic relationship, qualify and generate non-SAP partner-led revenue, sign and run integrations/reseller and co-marketing partnerships, and build partner playbooks, co-sell processes, enablement, and reporting. Start as an individual contributor and scale a partnerships team.

Build and own end-to-end frontend and backend ML platform features, collaborate with product and research to productionize model and agent capabilities, and design scalable, reliable, and secure data science tools.

Drive commercial adoption of foundation models for structured data through outbound outreach, sales cycle ownership, and technical engagement. Shape sales strategies and materials while managing key buyer relationships.

The Account Executive will drive adoption of foundation models, manage the sales cycle, engage technically with clients, and help define sales strategies.

As a Data Scientist, you'll bridge cutting-edge AI models with real-world applications, driving experimentation, customer success, and education while showcasing TFM value through PoCs and workshops.

Design, build, and scale core infrastructure for machine learning models, manage production systems, and implement best practices in MLOps.