Principal Product Manager, Data (AI/Fintech)

Location: Must be located in Pittsburgh or San Francisco and able to come into the office to collaborate with team members. Remote is listed as an additional location, but regular office collaboration is required.

Base compensation: $154,000–$231,000/year, plus a 25% annual bonus target and RSUs.

Company

hirify.global is a blockchain-native capital marketplace focused on tokenized real-world assets, lending, credit, digital asset custody, and related fintech products.

What you will do

• Drive a portfolio of ML, GenAI, data platform, internal tooling, and third-party data products supporting lending decisions, valuations, underwriting, document review, operations, sales, and risk.
• Operationalize the Data cross-functional roadmap, quarterly OKRs, milestones, dependencies, communications, and decision forums across Data Science, MLOps, Engineering, Analytics, Risk, Operations, and Product.
• Identify new AI and data opportunities, build business cases with ROI and risk forecasts, secure funding, and connect initiatives to measurable cost, quality, capacity, and time outcomes.
• Take ML and GenAI products from discovery and prototypes through proof of concept, shadow mode, pilots, governance, compliance review, user training, and production.
• Establish phased QA, human evaluation, feedback loops, monitoring, and improvement or stop decisions for underperforming models.
• Build prototypes with low-code and AI tools, write SQL, understand APIs, queues, and data pipelines, manage vendors and datasets, and communicate progress through updates, launch notes, newsletters, and product reviews.

Requirements

• 6+ years of product management experience, including complex technical or data products built with data scientists and engineers.
• Experience taking ML or GenAI products from 0 to 1 into production and proving business impact in dollars or hours.
• Builder’s mindset with the ability to create working prototypes and proofs of concept before engineering commitment.
• Experience managing cross-team initiatives, sustainable processes, releases, priorities, dependencies, and decentralized stakeholders through influence.
• Strong business-case skills, including sizing, forecasting, ROI analysis, and obtaining Finance and executive sign-off.
• Hands-on fluency with SQL, cloud data warehouses, APIs, event-driven systems, and low-code tools such as Retool and Zapier.
• Daily practical use of AI tools for writing, analysis, prototyping, and coding; experience with model evaluation, human-in-the-loop QA, and production monitoring.
• Clear executive and technical communication, including detailed specifications; bachelor’s degree in Computer Science, Engineering, Data Science, Finance, or a related field.
• Located in Pittsburgh or San Francisco, able to work from the office, and able to comply with company security policies, training, and incident-reporting requirements.

Nice to have

• Lending, mortgage, or real estate experience, especially valuations, underwriting, title, or draws.
• Experience buying and integrating property, MLS, lien, zoning, or other third-party data.
• Experience with outcome-based OKRs at individual, team, department, and company levels.
• Experience integrating products, data platforms, or teams after an acquisition.
• Advanced degree.

Culture & Benefits

• Hybrid collaboration with Data, Engineering, Operations, Design, Risk, Sales, Legal, Finance, and other business functions.
• Medical, dental, and vision coverage, including employer-paid premiums on select plans; HSA, FSA, dependent-care FSA, 401(k), and commuter benefits.
• Employer-paid life and disability insurance, 11 observed holidays, PTO, and up to 12 weeks of paid family leave.
• Continuing education reimbursement.
• No work visa sponsorship; hires must verify identity and authorization to work in the United States.