Senior AI Product Manager

Future Works; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Equity participation

Bonuses

All-expenses-paid company retreats

Job summary

Future Works is seeking an AI-enabled Product Manager to lead the delivery of custom data and AI platforms for institutional real estate owners, operators and fund managers. You will own the plan, gates and scope line, supported by a data and technology lead, a full-stack engineer, a solution architect and a business-outcomes partner.

You will drive end-to-end product development across discovery, data mapping, platform build and handover, with a fixed finish date and milestones tied to gates,

Qualifications

• Minimum 5 years in product management with ownership of every phase of the PDLC delivering custom software for external clients.
• At least 2 years inside or serving institutional real estate: owner-operator, REIT, private equity real estate or fund manager, or a real estate tech or data vendor.
• Hands-on exposure to property accounting systems (Yardi, MRI or RealPage) and at least one platform like Juniper Square, Altrio, VTS, ARGUS or Pereview.
• Shipped a data warehouse, data lake, reporting or BI product with emphasis on trustworthy numbers.
• Strong grasp of LLM-based extraction, retrieval with cited sources, agent workflows and human-in-the-loop approval.
• Experience delivering into a client’s Microsoft environment (Azure, Fabric or Synapse, Power BI).
• Track record on milestone or gate-based engagements with fixed-fee payments.
• 5–7+ years leading multidisciplinary teams and working with senior executives.
• Analytical and data-driven with KPI definition and evidence-based decision making.
• Proficiency in GSuite, ClickUp, Figma, Jira; able to collaborate across roles during US Eastern hours.

Responsibilities

• Own the cycle end to end: discovery, mapping, platform build, views, training and handover.
• Run gate-based delivery and manage scope to keep fixed-fee contracts.
• Define data foundations and source mapping with the data lead.
• Define views with asset management, finance, investor relations, deal teams and technology.
• Decide where AI belongs and where it does not; ensure auditable calculations.
• Own client relationships at working level with executive sponsor and technology lead.
• Plan history migration, parallel run and handover to client platform owner.

Skills

PDLC ownership

Real estate domain

Data mapping

AI & LLM familiarity

Microsoft data stack

Fixed-fee delivery

Leadership

GSuite/ClickUp/Jira

Tools

GSuite

ClickUp

Figma

Jira

Job description

About Future Works

Future Works is a US-focused, AI-native professional services firm building operational AI and data systems. Our foundation beliefs are simple: optimization lowers need for resources, which increases sustainability and resilience. We are a team of “Time Benders” on a mission to collapse timelines to operational transformation of high footprint companies in energy, real estate, data and beyond. Together, we master velocity.

We achieve our mission by building flawless, AI-powered systems. Our technology is already far more advanced than that of boutique services firms, but we are only getting started and the road from here leads to becoming world’s best Service-as-Software company. Regardless of the specific role, our ideal candidate will always have a keen interest in building symbiotic human-AI systems both individually and for teams; high energy, high agency and a certain passion for bending time.

The role

Future Works is searching for a results-driven, AI-Enabled Product Manager to lead delivery of custom data and AI platforms for institutional real estate owners, operators and fund managers. These are fixed‑fee, fixed‑date engagements of roughly sixteen weeks, with payment tied to signed gates, and you are the day-to-day lead.

A typical cycle connects every system the client runs on (property accounting, third-party operator packages, investor and fund platforms, deal and leasing platforms, loan and JV documents, models in Excel and SharePoint) into one trusted asset record they own, hosted in their cloud environment, read-only and never writing back to source. On top of it, AI agents map new operator data, run data checks, abstract loan and JV terms, answer portfolio questions with sources cited and draft quarterly commentary, feeding the views each group needs: portfolio and asset performance, lease and tenant exposure, debt and covenants, equity and JV structure, business plan against locked underwriting, quarterly reporting and an exceptions log. Often the cycle also has to retire an incumbent platform by a contract date.

You own the plan, the gates and the scope line, supported by a data and technology lead, a full-stack engineer, a solution architect and a partner on business outcomes.

Key Responsibilities

• Own the cycle end to end. Lead the full product development lifecycle across discovery workshops, data mapping, platform build, views, training and handover, against a fixed fee and a firm finish date.
• Run gate-based delivery and hold the scope line. Define gate criteria, evidence and acceptance with the client before signature. Translate an ambitious scope into what one cycle can deliver, document what moves to later cycles, and manage change so a fixed fee stays fixed. Set a value baseline with client finance at the start and measure against it.
• Put the data foundation first. Treat numbers that tie as the adoption bar. Work with the data lead on source mapping, data quality rules, exception routing to the responsible deal team, lineage and locked snapshots, before any view is built.
• Define the views with the people who use them. Run workshops with asset management, finance, investor relations, deal teams and technology, and turn what they say into view specs, KPI definitions and acceptance criteria the client signs.
• Decide where AI belongs, and where it does not. Work with engineering and data science on agent-based mapping, document extraction, retrieval with cited sources and drafted commentary, while keeping reported financial figures on fixed, auditable calculations the client approves.
• Own the client relationship at working level. Be the primary contact for the executive sponsor, the business owner and the technology lead. Report progress plainly and surface problems before they land.
• Land the retirement and the handover. Plan the history migration, the parallel run and the sign-off that the old system can be switched off, train teams by role inside the cycle, and transfer documentation and operating knowledge to the client’s platform owner so their team builds what comes next.

Requirements

Must have

• Experience. Minimum 5 years in product management with hands‑on ownership of every phase of the PDLC, delivering custom software for external clients.
• Real estate domain depth. At least 2 years inside or directly serving institutional real estate: an owner‑operator, REIT, private equity real estate or fund manager, or a real estate technology or data vendor. You read a rent roll, an operating statement, a budget vs actual, a T‑12, a loan abstract and a JV waterfall summary without a translator, and you know what WALT, DSCR, NOI and equity funded vs committed mean in practice.
• Real estate systems fluency. Hands‑on exposure to a property accounting system (Yardi, MRI or RealPage) plus at least one of Juniper Square, Altrio, VTS, ARGUS or a portfolio and asset management platform such as Pereview.
• Data platform product experience. You have shipped a data warehouse, data lake, reporting or BI product where the adoption bar was trust in the numbers, not feature count, and can make product calls on ingestion, mapping, reconciliation, data quality rules, exception handling, lineage and immutable snapshots.
• Technical knowledge in AI and software development. Strong grasp of LLM-based extraction, retrieval with cited sources, agent workflows and human‑in‑the‑loop approval, with the ability to turn business requirements into specifications design and engineering can build from.
• Microsoft data stack literacy. Comfortable delivering into a client’s Microsoft environment (Azure, Fabric or Synapse, Power BI), including single sign‑on, role and fund‑level permissions, audit logging and test environments.
• Fixed‑fee consulting delivery. Track record on milestone or gate‑based engagements where payment depends on acceptance, including writing acceptance criteria that survive a client signature.
• Leadership and client presence. 5 to 7+ years leading multidisciplinary teams (design, engineering, data), and comfortable in the room with a CFO, COO, head of asset management or head of technology, delivering unwelcome news early and clearly.
• Analytical and data‑driven. Able to define KPIs, interrogate a number, find why actuals diverge from a plan and decide from evidence.
• Practicalities. Proficiency in our project software suite (GSuite, ClickUp, Figma, Jira), and overlap with US Eastern business hours for workshops, gate reviews and training.

Strongly preferred

• Experience retiring or replacing an incumbent platform against a contract date, including a parallel run.
• Experience with quarterly investor reporting cycles, fund‑level reporting or DDQ response processes.
• Data governance experience: ownership models, stewardship, and approval of mappings and thresholds by the business rather than by IT.

Our Culture & Benefits

We believe that breakthrough results are driven by breakthrough experiences. Our culture is built on a foundation of freedom, high performance, and our seven core values.

Our Core Values

• AI native. We use AI as a natural extension of our abilities to deliver faster, smarter, and better work.
• Delivering joy. We underpromise and overdeliver, creating delight for our clients and our team.
• Smooth & fast. We believe speed is the result of precision, flawless systems, and calm execution, not frantic effort.
• Selfless. We proactively make work easier for others and measure our success by the success of the team.
• Candid. We are direct, honest, and clear with each other, believing that transparent feedback is a gift.
• Pursuing excellence. We are obsessed with quality and empower each other to break through boundaries and set new standards.
• Ever evolving. We are relentlessly curious and improve every single week, sharing our learnings openly to elevate the entire organization.

Benefits & Perks

• Connect deeply. We gather for immersive, all‑expenses‑paid company retreats in unique locations to connect, learn, and grow together.
• Share in the upside. A competitive compensation package including equity, bonuses, substantial participation in company profits with a clear growth path to C‑Level leadership based on performance.