Senior AI Product Manager (AI)

Location: Remote in the United States or Canada; New York is also listed. Requires overlap with US Eastern business hours for workshops, gate reviews, and training.

Company

hirify.global is a US-focused, AI-native professional services firm building operational AI and data systems for high-footprint companies, including energy and real estate organizations.

What you will do

• Lead the full product development lifecycle for fixed-fee, fixed-date engagements, from discovery and data mapping through platform build, training, and handover.
• Define gate criteria, acceptance evidence, scope boundaries, value baselines, and change controls while keeping delivery aligned to the signed fee and finish date.
• Build trusted data foundations through source mapping, reconciliation, data quality rules, exception routing, lineage, and locked snapshots.
• Run workshops with asset management, finance, investor relations, deal, and technology teams to define views, KPIs, specifications, and acceptance criteria.
• Decide where AI is appropriate, including agent-based mapping, document extraction, cited-source retrieval, and drafted commentary, while keeping financial figures auditable and calculation-based.
• Lead client communication, history migration, parallel runs, incumbent-platform retirement, role-based training, sign-off, and transfer of operating knowledge.

Requirements

• At least 5 years of product management experience with hands-on ownership of every PDLC phase and delivery of custom software for external clients.
• At least 2 years inside or directly serving institutional real estate, including an owner-operator, REIT, private equity real estate or fund manager, or real estate technology or data vendor.
• Ability to interpret rent rolls, operating statements, budgets versus actuals, T-12s, loan abstracts, and JV waterfall summaries, including WALT, DSCR, NOI, and equity funded versus committed.
• Hands-on experience with Yardi, MRI, or RealPage plus at least one of Juniper Square, Altrio, VTS, ARGUS, Pereview, or a comparable portfolio and asset management platform.
• Experience shipping a data warehouse, data lake, reporting, or BI product where trust in the numbers was the adoption standard, with product judgment across ingestion, mapping, reconciliation, data quality, exceptions, lineage, and immutable snapshots.
• Strong knowledge of LLM-based extraction, cited-source retrieval, agent workflows, human-in-the-loop approval, and translating business requirements into buildable specifications.
• Comfort delivering in Microsoft environments including Azure, Fabric, or Synapse and Power BI, with single sign-on, role and fund-level permissions, audit logging, and test environments.
• Track record delivering milestone- or gate-based fixed-fee engagements where payment depends on acceptance, including writing acceptance criteria that withstand client signature.
• 5 to 7+ years leading multidisciplinary design, engineering, and data teams; confidence working with CFOs, COOs, heads of asset management, and heads of technology.
• Ability to define KPIs, interrogate figures, identify why actuals diverge from plans, and make evidence-based decisions.
• Proficiency with GSuite, ClickUp, Figma, and Jira, plus availability for US Eastern business-hour overlap.

Nice to have

• Experience retiring or replacing an incumbent platform against a contract date, including a parallel run.
• Experience with quarterly investor reporting, fund-level reporting, or DDQ response processes.
• Data governance experience covering ownership models, stewardship, and business approval of mappings and thresholds.

Culture & Benefits

• AI-native culture focused on using AI to deliver faster, smarter, and better work.
• Values include candid communication, selfless collaboration, precision, continuous improvement, and high performance.
• All-expenses-paid company retreats in unique locations.
• Compensation package includes equity, bonuses, substantial participation in company profits, and a performance-based growth path toward C-level leadership.