AI Deployment Strategist

This is a fully remote position, open to applicants in United States.

📋 Description

• Conduct discovery sessions with business and data leaders.

• Identify decision points linked to prediction challenges.

• Assess data availability and prioritize use cases based on value and feasibility.

• Compose a detailed use-case brief for each deployment, covering the business question, prediction target, data sources, baseline, success KPI, and the customer-side owner.

• Establish value before development and obtain approval afterward.

• Convert model lift into financial terms, hours, or risk in a manner understood by the sponsor's CFO.

• Facilitate adoption by integrating the model into the customer's workflow, training users, monitoring usage, and resolving obstacles.

• Develop future use cases by maintaining an active roadmap for each account.

• Provide qualified expansion opportunities to the Account Executive along with a written business case.

• Collaborate with the Forward Deployed Engineer to resolve data access, stakeholder, and priority issues.

• Relay customer patterns back to Product, Research, and leadership teams.

• Transform successful strategies into reusable team playbooks.

• Travel to customer locations 50% of the time or more.

⛳️ Requirements

• 2 to 6 years of experience in a role evaluated on outcomes with a customer or client, such as consulting, technical sales, customer-facing data science, product management, founding, or early-stage startup operations.

• Proficient in using a Python or SQL notebook.

• Capable of explaining prediction problems and interpreting backtests.

• Open to being assessed on technical curiosity and knowledge.

• Competent in structuring complex problems on a whiteboard.

• Skilled in crafting concise one-pagers.

• Able to engage a room of senior stakeholders effectively.

• Demonstrated ability to quickly learn a domain or technology and develop or launch a solution.

• Willing to travel, work extended hours with customers, and navigate ambiguity.

• Committed to working humbly and prioritizing team collaboration.

• Preferred: expertise in energy, financial services, insurance, shipping, retail, or private equity.

• Preferred: previous exposure to applied machine learning, forecasting, or analytics products.

• Preferred: proficiency in a second language used in a business context.

• Must have authorization to work in the United States.

• Expected to travel to customer sites approximately 50% of the time.

🏝️ Benefits

• Competitive base salary along with equity in a Series A company valued at $1.4 billion.

• Comprehensive medical, dental, and vision insurance.

• Provision of company equipment.

• Wellbeing stipend available.

• Learning stipend for professional development.

• Home office stipend to enhance remote working conditions.

• Structured eight-week onboarding program covering NEXUS, prediction framing, and value modeling.

• A mission-driven culture that celebrates diversity of thought, humility, and a proactive approach to action.