Director of Strategic Partnerships, AI

Blue Signal Search; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Equity participation

Partnership opportunities

Technical differentiator offering

High ownership

Job summary

Blue Signal Search represents a client, an emerging scientific AI company building proprietary data, evaluation, and training capabilities for demanding AI research applications. This role leads strategic partnerships with frontier AI organizations, translating technical capabilities into commercial programs.

You will own a portfolio of high-potential accounts, open doors with model developers and infrastructure firms, shape partnership strategies, and structure pilots and long-term agreements,

Qualifications

• Proven success selling into frontier AI organizations.
• Able to reach research-level contacts at major AI organizations within the first 30 days.
• Experience selling scientific or expert datasets, evaluations, training environments, or model access.

Responsibilities

• Own a concentrated portfolio of strategic AI accounts and build executive relationships.
• Open doors with model developers and infrastructure companies to secure discovery meetings, pilots, and long-term agreements.
• Shape partnership strategies for datasets, evaluations, training environments, content, and model access.
• Translate scientific capabilities into clear commercial value for research and leadership stakeholders.
• Structure pilots and commercial agreements with clear success criteria and pricing logic.
• Lead negotiations involving data rights, exclusivity, and field-of-use provisions to protect IP.

Skills

Executive relationships

AI industry network

Sales in AI research

Negotiation skills

Technical collaboration

Job description

Our client is an emerging scientific AI company building proprietary data, evaluation, and training capabilities designed for some of the most technically demanding AI research applications. The organization is bringing together advanced simulation, experimental science, and machine learning to create resources that cannot simply be collected from existing public datasets. They are seeking a highly connected commercial leader who can turn these capabilities into strategic partnerships with the organizations shaping the frontier of AI.

This Role Offers:

• Competitive compensation with meaningful early-stage equity participation.
• Opportunity to build partnerships with leading AI research organizations.
• A technically differentiated offering spanning scientific data, evaluations, training environments, and model-related services.
• Close collaboration with scientists, researchers, and technical leaders working across advanced simulation and experimental disciplines.
• High ownership in an entrepreneurial environment where successful partnerships can directly shape company growth.

Focus:

• Own a concentrated portfolio of strategic AI accounts and build executive and research relationships that convert technical capabilities into commercial programs.
• Open doors with leading model developers and infrastructure companies, using established relationships to secure technical discovery meetings, pilots, and long-term agreements.
• Shape partnership strategies for scientific datasets, model evaluations, training environments, expert-generated content, and controlled model access.
• Translate complex scientific capabilities into clear commercial value for research, product, procurement, and leadership stakeholders.
• Structure pilot programs and commercial agreements with clear success criteria, expansion paths, pricing logic, and account plans.
• Lead negotiations involving data rights, exclusivity, permitted use, ownership, and reuse while protecting the company's long-term intellectual property position.
• Partner closely with scientific and technical teams to align customer needs with simulation, evaluation, and experimental capabilities.
• Build the early go-to-market playbook for a high-growth scientific AI business, from target-account strategy through signed revenue.

Skill Set:

• Proven success selling into at least one frontier AI organization, with active relationships across Anthropic, OpenAI, Google DeepMind, Meta, Microsoft, xAI, or Nvidia.
• Ability to reach research-level contacts at major AI organizations within the first 30 days, supported by named, current relationships.
• Prior sales experience involving scientific or expert datasets, evaluations, training environments, model access, or related AI research services.
• Working knowledge of scientific simulation, including the outputs of density functional theory and molecular dynamics and the challenges of generating data under applied fields.
• Familiarity with multi-modal perturbation biology and the role experimental or simulation-derived data can play in model training and evaluation.
• Experience with an expert-data, evaluation, or environment commercialization model at organizations such as Mercor, Surge AI, Scale AI, Handshake AI, Micro1, Turing, Invisible, Snorkel, Prime Intellect, Mechanize, or a comparable company.
• Understanding of modern model improvement workflows, including post-training, reinforcement learning, verifiable rewards, benchmarks, and evaluation systems.
• Experience negotiating sophisticated data or technology agreements with substantially larger counterparties, including ownership, exclusivity, and field-of-use provisions.