Required Skills and Background
đŚ Direct mortgage lender experience - youâve worked at an actual lender, not only a mortgage tech company, for at least 2-3 years.
đ¤ Customer/borrower-facing experience - youâve been the person on the phone or in the inbox with borrowers and referral partners, not exclusively working behind the scenes on files.
đŁď¸ Consultative, sales-minded instincts - youâre comfortable being persuasive, handling objections, selling against adversity, and pushing back when a customer asks for something that isnât the right move. Youâve done this naturally with borrowers who were rate-shopping or partners who were comparing you to a competitor.
đź Deep fluency in the mortgage lifecycle - application through funding. You know what a 1003, LE, CD, AUS finding, condition, and lock extension are without needing to look them up, and you can talk shop with LOs, processors, and ops leaders.
đŻ CSM, AM, or SDR experience at a mortgage tech company - ideal but not required. If youâve done customer success, onboarding, or account management at a mortgage software vendor after your time at a lender, thatâs the profile weâre most excited about.
đ§ Hands-on experience with a loan origination system (Encompass, Empower, Byte, etc.) - youâve lived inside one and know where they help and where they get in the way.
đ Clear written and verbal communication - customers, execs, and internal partners will read what you write and act on it. It has to be precise and easy to follow.
đ¤ Comfort in front of customers and prospects - running working sessions, giving product demos, and being the voice in the room when it matters.
đ Bias to action and comfort with ambiguity - weâre building the CS function from the ground up. Youâll be figuring things out, not inheriting a machine.
đ¤ Curiosity about AI and how itâs changing mortgage workflows - you donât need an ML background, but you should be excited to help customers get value from AI-driven features and to help us shape them.