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LoanCrate

Senior Technical Product Manager

Posted 19 Days Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
The Senior Product Manager will oversee the product lifecycle, lead customer discovery, drive product strategy, and partner with engineering to deliver effective solutions.
The summary above was generated by AI
What is Loancrate?

We started Loancrate to make home-buying simpler and less expensive for lenders and borrowers. Today, mortgage lenders are stuck running their companies on software products built 20 years ago - slow, unstable, and incapable of driving material efficiency gains. When using these systems, the average human cost to originate a loan is still over $11,000.

Loancrate builds AI-native tooling to automate mortgage workflows. Our ultimate goal is fully automated origination, which has the potential to save lenders over $16B in operating expense per year. Since starting in 2020, our remote team has enabled our customers to power >$85 billion in new home loans.

We care about collaboration, very open communication covering the good and the bad so that we learn from our decisions quickly, and ultimately having fun while we're building. You'll fit in well if you like diving deep quickly.

The Opportunity

We're looking for a Senior Technical Product Manager who thrives on complexity, moves fast, and wants their work to actually matter. You'll own a product area end-to-end - embedded with a world-class Engineering team, in constant contact with customers, and making real decisions about what gets built. This isn't a role where you manage a backlog and write tickets. You'll be setting direction, and people will follow it.

Home lending is a $2 trillion market still running on software built before the iPhone existed. AI is fundamentally changing what's possible, and Loancrate is executing seriously at that intersection. Our Engineering team is fast, senior, and deeply product-minded - the problems are genuinely hard, the stakes are high, and the work you ship will touch billions of dollars in home loans.

You're the type of PM who gets energy from being close to the customer and close to the code. You have enough technical depth that engineers want your input on architecture - whether that's from a stint as a software engineer, a habit of prototyping your ideas, or genuine fluency with the systems you're building on. You're curious about the domain, not just the product. You create clarity where there isn't any, write specs engineers actually enjoy reading, and ship things you're proud of.

What You'll Do
  • Own the end-to-end product lifecycle for your area - discovery, definition, delivery, and iteration - in lockstep with Engineering and Design. This includes driving how we turn non-deterministic LLMs into reliable, mission-critical mortgage automation: defining requirements, evaluating tradeoffs, and setting success criteria.

  • Lead customer discovery with mortgage lenders, loan officers, and ops teams - running interviews, digging into workflows, and turning what you learn directly into a roadmap grounded in customer evidence, business strategy, and technical feasibility.

  • Prototype and explore product ideas hands-on - using AI coding tools and your technical background to validate early and bring Engineering concrete starting points.

  • Craft well-structured product specs and acceptance criteria that give Engineering and Design the clarity to move quickly and iterate intentionally.

  • Define success metrics for every major initiative and drive post-launch iteration until the outcomes are there.

  • Be the voice of the customer in technical architecture discussions - pushing back hard when tradeoffs compromise the user experience.

  • Partner with Sales and Customer Success to shape positioning and influence deal cycles for your product area.

  • Make the hard calls on scope - you ship focused, well-executed products and know when to ship with conviction.

Preferred Skills and Background

It's okay not to have all of these - these are just some skills we're excited about!

⚡ A technical background - software engineering experience, or enough depth that you can read a codebase, prototype with AI coding tools, and contribute meaningfully to architecture conversations.

🤖 Fluency with LLM concepts - prompting, evals, retrieval, fine-tuning - and the judgment to translate them into reliable, user-facing products.

🏦 Experience building B2B SaaS products in a regulated industry (fintech, insurtech, healthcare, or similar). Mortgage or lending experience is a big plus.

🔬 Sharp customer research instincts - you know how to ask the right questions, synthesize qualitative signal, and turn it into actionable insights grounded in direct user exposure.

📊 Data fluency - comfortable pulling dashboards, digging into the numbers, and forming hypotheses from quantitative data.

🚢 A track record shipping in a fast-moving startup environment, including managing ambiguity and making decisions without complete information.

📝 Exceptional written communication - your specs, docs, and async updates are clear, concise, and actually get read.

🤝 The ability to build strong working relationships with engineers - you understand technical tradeoffs well enough to have credible conversations and earn trust.

📈 Experience owning product metrics and using them to guide iteration - not just tracking vanity metrics after the fact.

Perks & Benefits
  • Robust medical coverage (100% of employee + family premiums covered)

  • Vision & dental coverage

  • 401(k)

  • HSA / FSA

  • Remote-first culture - work from wherever you do your best work

  • Flexible time off - we trust you to manage your time

Loancrate is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected characteristic.

Top Skills

AI
B2B Saas
Data Analytics

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