Delivery Manager, Data & AI Solutions

About Paradox Machines

Paradox Machines is the data foundation enabling organizations to leverage AI. We pair expert data engineering and architecture with our proprietary AI-enabled platform, which aggregates data from across an organization's systems, standardizes and governs it, and exposes it for reporting, analytics, and AI-driven use cases. Our focus is ensuring you have trusted analytics and AI, so you can drive business impact without worrying about data quality and reliability.

About The Role

This is a founding role at a data and AI company — which means high ownership, direct client impact, and a real chance to shape how the company operates and grows. You'll lead complex, 0-to-1 engagements: taking ambiguous goals from mid-market leadership teams and turning them into working data systems and measurable business outcomes. You'll move between executive stakeholders and engineering teams, own the client relationship end-to-end, and help build the internal playbooks that make Paradox scalable. You’ll report to the CEO of Paradox.

What You'll Own

• Client engagements, end-to-end: You'll be the primary partner to clients — leading discovery, aligning stakeholders, defining scope, and staying accountable through launch and adoption.
• Translating business problems into working systems: You'll take whiteboard conversations with clients and turn them into clear specs for engineers — ETL pipelines, semantic models, metric definitions, evaluation criteria. You'll stay close through prioritization, testing, and rollout.
• BUILDING THE COMPANY, NOT JUST THE CLIENT: As a founding team member, you'll help identify what's working across engagements and turn it into repeatable assets — delivery templates, data models, internal tools. You'll contribute to proposals, shape solution approaches for prospective clients, and help Paradox get better at what it does with every project.

What You Bring

• 6-10 years in data, analytics, consulting, or similar roles where you led multiple projects and had to manage clients or customers (whether internal or external).
• Experience delivering data systems or products alongside engineers — pipelines, analytics platforms, AI-driven applications.
• Comfort moving from ambiguous business problems to clear engineering spec without losing the core objective.
• Client-facing experience in environments where stakeholders weren't always aligned and the path forward wasn't obvious.
• Genuine fluency with AI tools and a habit of incorporating them into your work — not a curiosity checkbox, but a real part of how you operate.
• Bias for action: you'll write a quick SQL query to check the numbers, draft a data definition for quick feedback, or step into a demo when it moves things forward.

We Offer

• Competitive base salary + performance bonus
• 401(k) Plan
• Medical, dental, and vision coverage
• Unlimited PTO
• Remote-first
• Annual company offsite
• Home office budget
• Conference budget

Equal Opportunity

We are an equal-opportunity employer. We celebrate diverse backgrounds and perspectives and are committed to an inclusive environment for all teammates.