AI Solutions Strategist

superset} • San Francisco, NY

1d • Hybrid

About The Position

Fricative is building a Decision Management System to help businesses make consequential decisions with a more complete view of the world. This system aims to bring together scattered information from various sources, including internal data and external signals, to answer practical questions about what actions to take, why, and when. The system emphasizes transparency, allowing users to see the source of claims, how evidence fits together, and what remains uncertain. Fricative is a portfolio company of Superset, a venture studio that builds AI-native companies. The AI Solutions Strategist will play a key role in developing this system by working closely with clients to understand their decision-making processes, identify key challenges, and leverage AI to gather, test, and synthesize evidence. This involves breaking down complex problems into manageable components, designing workflows, and ensuring the system produces reliable and actionable answers. The role requires a blend of customer interaction, problem-solving, technical understanding, and strategic thinking to help define and build a new category of decision management.

Requirements

• Experience taking an unclear business or customer problem, asking the right questions, and figuring out what actually needs to be solved.
• Ability to investigate across multiple sources, assess source quality, distinguish fact from inference, identify conflicting evidence, and explain conclusions.
• Experience working directly with customers or users to understand their workflows, uncover needs, and translate insights into action.
• Ability to think clearly and communicate clearly, separating knowledge from belief, recognizing uncertainty, challenging assumptions, and adapting views based on evidence.
• Sufficient technical understanding to work effectively with engineers and engage with tools, data, APIs, automation, or AI without necessarily being an engineer.
• Demonstrated use of AI tools to investigate, analyze, synthesize, prototype, automate, or solve a real problem.
• Experience turning an idea, hypothesis, or insight into something tangible, testing it with real users, and learning from the outcomes.

Nice To Haves

• A non-linear background that spans multiple disciplines (e.g., consulting, research, journalism, analytics, operations, product, technical customer-facing roles).
• Experience in financial institutions or other information-intensive enterprises.
• Experience with complex or high-stakes business decisions.
• Experience working across internal data and external/public information sources.
• Experience using AI to change a research, analysis, or customer workflow.
• Experience working with APIs, data, software systems, automation, or technical products.
• Experience translating customer problems into product or technical requirements.
• Experience in an early-stage company or an environment without an established playbook.
• Experience building something that moved from a one-off solution to a repeatable product, workflow, or method.
• Examples of finding the real problem, investigating it, forming a view, building/recommending something, testing it, changing an opinion based on evidence, and making the result useful to someone else.

Responsibilities

• Understand customer decisions by getting close to clients, learning their current decision-making processes, knowledge, gaps, and constraints.
• Investigate and frame problems by finding and assessing relevant internal and external information, distinguishing signal from noise, and clarifying alternatives and uncertainties.
• Design and build workflows by breaking problems into skills and building blocks, defining the scope of each skill, and ensuring reliable integration.
• Run samples, identify failures and edge cases, and improve the system's reliability.
• Flag missing integrations or capabilities for engineers to build.
• Present working ideas to users, explain the reasoning, and gather feedback on understanding, trust, and action.
• Turn successful solutions into repeatable product capabilities and methods.
• Collaborate with engineers to close gaps in system capabilities.
• Explain reasoning and findings to stakeholders involved in decision-making.
• Test and improve the system and its explanations based on user feedback.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed