Pricing Analyst

Mainstay is the leading market intelligence platform purpose built for buying, managing, and selling homes in the single family rental industry. As an AI native company, we turn complex data into clarity that helps the industry move forward with confidence. Founded within Opendoor, Mainstay launched as an independent company in 2024 and recently raised a Series A round led by Khosla Ventures.

Ready to shape the future of real estate with AI? Join Mainstay and help us redefine what’s possible in the single family rental space. If you thrive on solving complex problems and want to make a tangible impact in a fast-growing industry, we’d love to hear from you - apply now and let’s move the industry forward, together!

About the role

As a Pricing Analyst, you are the primary engine for pricing conviction at Mainstay, translating complex market signals into high-stakes strategies for our institutional partners. This is not a back-office reporting role; you will own the outcomes end-to-end, serving as the final word on pricing for your portfolio.

You won’t just create CMAs and Listing Price Reviews - you will lead them, using market data and sharp intuition to recommend prices that balance velocity with partner yield. We expect you to be a proactive driver of performance: you’ll diagnose underperformance early and have the autonomy to correct pricing before listings stall. Success in this role means moving beyond data entry to become a trusted advisor who can defend a price to skeptical stakeholders and deliver tangible results in days-on-market (DOM) and portfolio clearance.

In this role you will

• Defend pricing conviction to our institutional partners by synthesizing disparate data - AVMs, market trends, and rehab economics - into clear, defensible valuation strategies.
• Execute the Listing Price Review (LPR) cadence independently, identifying underperformance and deploying pricing corrections that maximize velocity and clearance.
• Surface pricing patterns and insights that reduce repeat mistakes and improve portfolio performance.
• Partner with Brokerage, Operations, and Engineering to scale our pricing intelligence, providing the feedback loops and real-world edge cases needed to build best-in-class pricing services.
• Proactively mitigate portfolio risk by anticipating market shifts and adjusting strategies across multiple regions before they impact the bottom line.
• You prefer standard reporting over exploratory data analysis; we need someone who asks ‘why’ the data is moving, not just ‘what’ the numbers are.

What we're looking for

• 3+ Years of experience in Real Estate or Finance
• You have a deep background in real estate (ideally SFR or REITs) with a track record of closed deals where your pricing accuracy was the primary driver of success.
• You don’t just read data; you interrogate it. You can interpret AVMs and market signals critically, recognizing when a comp is misleading and making high-conviction calls even when data is messy or incomplete.
• You think institutionally, not just deal-by-deal. You have the analytical rigor to balance individual asset performance with broader clearance goals and partner yield strategies.
• You have a bias for action. You don’t wait for direction to adjust a strategy; you independently run the Listing Price Review (LPR) cadence and proactively "fix" underperforming assets.
• You are comfortable defending your recommendations to smart, skeptical stakeholders. You can translate complex rehab economics and market trends into a narrative that builds trust and consensus.
• You are highly proficient with the metrics that matter - Days on Market (DOM), price-to-close ratios, and trend analysis; and you know how to leverage AI-driven tools to sharpen your edge.
• You have experience managing and extracting insights from large, multi-market data sets, using data visualization or advanced reporting tools to identify macro-trends that impact local pricing strategies.

Bonus points if you have:

• Deep familiarity with the Single-Family Rental asset class and how it differs from traditional retail real estate
• Experience with yield metrics (Cap Rates, IRR) and an understanding of how pricing impacts an institutional fund’s bottom line
• Ability to use Excel or internal tools to forecast outcomes based on various pricing scenarios.
• Experience with data manipulation tools (e.g. SQL, Python or advanced Tableau/PowerBI) to automate reporting or conduct deep-dive analysis into portfolio performance
• Proven ability to build scalable reporting frameworks that translate raw data into actionable business intelligence for executive leadership

This role is a great fit if:

• You don’t just report on the market; you have the conviction to lead it by making bold, data-backed pricing calls.
• You enjoy the challenge of making decisions when data is conflicting, messy, or lagging.
• You can walk a partner through your logic so clearly that they trust your judgment even when the recommendation is difficult.
• You take it personally when a listing stalls and feel a sense of accomplishment when your pricing strategy leads to a clean, fast closing.

Not a great fit if:

• You rely strictly on rigid checklists and structured processes rather than applying analytical problem-solving to shifting market conditions.
• You are uncomfortable defending your data-backed convictions when challenged by smart, skeptical, or demanding stakeholders.
• You prefer waiting for managerial direction or permission before proactively correcting a strategy on an underperforming asset.
• You prioritize emotional intuition over rigorous data analysis and objective judgment when making high-stakes pricing calls.