PLACE Corporate Careers

Build and maintain features across Rails and TypeScript services, manage mortgage-platform integrations, lead technical design, mentor engineers, and improve productivity through AI-assisted workflows. | Requires 7+ years building production web applications, deep Ruby on Rails, React, and TypeScript expertise, plus distributed systems, security, and cross-functional communication skills. | Senior Fullstack Engineer Your Opportunity: At PLACE, we're building a category-defining company at the intersection of real estate, technology, business services, and the consumer. As a profitable, hypergrowth startup on the path to an IPO, our standards are high, our team is scrappy, and our commitment is to execute the best work of our lives. This is YOUR CHANCE to shape the backbone of a company that's scaling rapidly and innovating boldly. As our Senior Fullstack Engineer, you'll partner with the CTO, founders, and executives to build and scale our mortgage technology platform, shipping features end to end across a mix of microservices and monolith architectures, with a focus on backend systems and third-party integrations. If you thrive in complexity, entrepreneurial problem-solving, and believe in scaling through tech and AI, this is your PLACE. Who Develops You: CTO What You're Great At: You are a seasoned engineer with 7+ years building and running production web applications, and you take a problem from a vague description to a shipped, monitored solution. You go deep on Ruby on Rails, including API-only services, ActiveRecord, PostgreSQL, background jobs, and RSpec. You're also comfortable shipping polished UI with React and TypeScript, and you've worked with GraphQL (ideally Apollo) on both server and client. You've built distributed, event-driven systems and know how to debug failures that span services, using retries, idempotency, and eventual consistency. You've also tamed third-party integrations (REST, SOAP, webhooks) and partner APIs that are slow, inconsistent, or poorly documented. You treat sensitive personal and financial data with care and have strong instincts for security and multi-tenant data isolation. You use AI and agentic coding tools at an advanced level every day, can describe how you structure context for agents and verify what they produce, and you build tooling that makes other engineers more effective. You communicate clearly: you can write a strong design doc, explain a production incident to a customer success manager, and disagree productively with a product manager. You own production through on-call, incident response, observability, and blameless postmortems. Bonus points if you have experience in mortgage tech or a similar regulated, integration-heavy domain (fintech, lending, insurance, payments, healthcare), familiarity with LOS platforms (Encompass, MortgageBot, Byte) or MISMO standards, Node.js/TypeScript services, Elasticsearch, Redis, Docker, AWS, CI/CD, saga or workflow orchestration patterns, or a history of mentoring engineers and leading cross-team projects. What You'll Do: Design, build, and maintain features across Rails API services, TypeScript/Node services, a GraphQL gateway, and React frontends Own integrations with external platforms (LOS systems, mortgage insurance providers, document and e-sign vendors), including data mapping, sync and reconciliation, retries, and idempotency Design and evolve asynchronous, multi-step workflows using message queues (RabbitMQ, SNS/SQS), Sidekiq background jobs, and saga-style orchestration Keep our multi-tenant platform correct and secure, respecting partner boundaries in every query and event Lead technical design for significant features by writing design docs and architecture decision records, weighing trade-offs, and building alignment before you build Identify and pay down technical debt, improving service boundaries, module design, test coverage, and developer experience Hold a high bar in code review and help set engineering standards across the team Join the on-call rotation, lead incident response, and follow through on root-cause fixes that prevent recurrence Use observability tools and CI/CD to keep the platform healthy, and improve them where they fall short Work directly with Customer Support & Success on lender-reported escalations, reproducing issues, investigating sync problems with external LOSs, and explaining findings clearly to non-engineers Partner with Product Managers to refine requirements, uncover edge cases early, and propose simpler alternatives Work with UI/UX Designers to turn designs into polished, accessible interfaces, and push back constructively when technical constraints affect the experience Mentor other engineers through pairing, code review, and design feedback, including on effective AI-assisted workflows Lead on AI-assisted engineering by using agentic coding tools (Claude Code, Cursor, Codex) daily to plan, implement, test, debug, and review, and by delegating well-scoped work to agents and reviewing their output rigorously Build and maintain shared AI tooling for the team, including agent instruction files (CLAUDE.md/AGENTS.md), reusable skills and prompts, MCP servers connecting agents to internal systems, and automated workflows Set and follow guardrails for AI use: verify agent output, never expose secrets or customer data, and know when a task needs a human-written solution Why PLACE: We believe people do their best work when they're trusted, supported, and surrounded by others who are equally driven. That's why this role includes a "work from the PLACE you work best" approach – at home, in an office, or on the move. Our competitive benefits include PTO as needed, comprehensive insurance coverage, a 401(k) match, stock option grants, and a stock purchase plan. Every team member is an owner, building the "PLACE" they are proud to call "my company."

Architect and govern AWS infrastructure, CI/CD pipelines, security, cost optimization, and mentor engineers. | Extensive hands-on AWS cloud platform experience with infrastructure automation, security, cost management, and leadership. | Senior AWS Cloud Infrastructure Engineer You’re Opportunity: At PLACE, we’re building a category-defining company at the intersection of real estate, technology, business services, and the consumer. As a profitable, hypergrowth startup, on the path to an IPO, our standards are high, and our team is scrappy, and our commitment is to execute the best work of our lives. This is YOUR CHANCE to shape the backbone of a company that’s scaling rapidly and innovating boldly. As our Senior AWS Cloud Infrastructure Engineer, you’ll partner with our Platform & Infrastructure Engineering leadership, founders, and executives to architect and govern our enterprise AWS cloud platform, drive CI/CD and infrastructure automation strategy, and set the technical standards that keep our systems secure, scalable, and reliable across every engineering team. If you thrive in complexity, entrepreneurial problem-solving, and believe in scaling through tech and AI, this is your PLACE. This is a hybrid role based in Bethesda, MD. Who Develops You: VP Software Engineering and IT Operations What You’re Great At: You are a hands-on cloud platform expert who thinks in systems, not just servers. You’ve spent years deep in AWS — EC2, ECS/EKS, Lambda, RDS/Aurora, API Gateway — and you know how to turn that expertise into infrastructure-as-code that other engineers can trust and build on. You’re as comfortable standing up a multi-region disaster recovery plan as you are leading a root-cause analysis after a production incident. Security and cost aren’t afterthoughts for you; they’re built into every architecture decision you make. You mentor generously, communicate clearly with product and engineering leadership, and you’ve got the scars — and the certifications — to prove you’ve done this at scale before. What You’ll Do: Design and maintain enterprise AWS infrastructure using Infrastructure as Code (IaC); establish and enforce cloud architecture standards and operational best practices. Develop reusable infrastructure modules and deployment patterns; monitor and optimize AWS infrastructure costs (FinOps) without compromising reliability; partner with vendors on large-scale, cost-effective cloud solutions. Design, implement, and govern CI/CD pipelines (CodePipeline, CodeBuild, CodeDeploy, and/or Jenkins/GitHub Actions); standardize deployment processes across multiple development teams. Design and maintain load-testing environments and automated performance benchmarks; validate auto-scaling for EC2, ECS/EKS, Lambda, and RDS/Aurora workloads. Implement security controls aligned with enterprise standards, including IAM roles/policies, AWS KMS, Secrets Manager, and least-privilege access models. Design, configure, and maintain AWS WAF and Shield policies and Amazon API Gateway, including throttling, rate limiting, usage plans, and API governance standards. Implement enterprise observability using CloudWatch, X-Ray, and CloudTrail; lead root cause analysis following production incidents. Mentor engineers on AWS, DevOps, automation, and cloud-native architecture; lead technical design reviews and serve as subject matter expert for cloud operations and platform reliability. Work across departments and with product/engineering teams (Agile/Scrum) to establish software standards, drive automation, and align infrastructure delivery with business priorities. Salary: $165,000-$170,000/year depending on experience. Why PLACE: We believe people do their best work when they’re trusted, supported, and surrounded by others who are equally driven. That’s why this role includes a “work from the PLACE you work best” approach – at home, in an office, or on the move. Our competitive benefits include PTO as needed, comprehensive insurance coverage, a 401(k) match, stock option grants, and a stock purchase plan. Every team member is an owner, building the “PLACE” they are proud to call “my company.”

Design and deliver production-grade AI and agentic systems including document intelligence and workflow automation. | 6+ years software engineering with 2+ years building production LLM/ML systems, strong Python, cloud infrastructure, and retrieval systems experience required. | You’re Opportunity: At PLACE, we’re building a category-defining company at the intersection of real estate, technology, business services, and the consumer. As a profitable, hypergrowth startup on the path to an IPO, our standards are high, our team is scrappy, and our commitment is to execute the best work of our lives. This is YOUR CHANCE to shape the future of AI-powered mortgage technology. As our Director, AI Product, you’ll partner with Product, Engineering, Customer Experience leaders, and executives to define and execute an AI product strategy that transforms how lending teams and borrowers interact with the mortgage process. You will own the roadmap across document intelligence, workflow automation, and data-driven decisioning—embedding AI directly into our Point of Sale experience. If you thrive in ambiguity, ship fast, and believe in scaling impact through AI, this is your PLACE. Who Develops You: Head of Product What You’re Great At: You are an applied AI engineer who ships. You’ve taken LLM-based systems and agentic workflows from prototype to production and understand what it takes to make them work in the real world—evals, observability, cost control, latency tuning, and continuous iteration. You have strong opinions on architectures and frameworks, shaped by hands-on experience, but you stay pragmatic—choosing the right tool for the problem rather than forcing a preferred approach. You stay current with emerging research and quickly translate what’s promising into production-ready solutions. You operate across the stack. You can design retrieval systems, implement tool use and orchestration, build evaluation harnesses, debug live issues, and clearly explain tradeoffs to both technical and non-technical stakeholders. You take full ownership and are driven by delivering systems that are reliable, scalable, and impactful. Must-Have: 6+ years of software engineering experience, including 2+ years building and shipping production LLM/ML systems Proven experience designing and deploying agentic systems (tool use, orchestration, multi-step workflows) Strong Python proficiency with production-grade coding, testing, and deployment practices Hands-on experience with LLM APIs (e.g., OpenAI, Anthropic, AWS Bedrock), including prompting, structured outputs, and function calling Deep experience with evals and observability for LLM systems (accuracy measurement, regression detection, drift monitoring) Experience building retrieval systems (RAG), working with vector databases and embedding models Solid cloud infrastructure experience (AWS preferred), including APIs, containers, and serverless architecture Strong system design mindset across LLM architecture (retrieval, memory, orchestration, tool use) with pragmatic tool selection Ability to manage cost and latency tradeoffs in production AI systems Clear communicator who can write design docs, explain tradeoffs, and collaborate cross-functionally Ownership mindset: ships end-to-end and operates effectively in production environments Bonus if you have: Experience in fintech, mortgage, or other regulated environments Background in document AI, OCR pipelines, or structured data extraction Familiarity with AWS AI services (e.g., Bedrock, SageMaker) Experience with modern agent frameworks (e.g., LangGraph, CrewAI, AutoGen) and when to use them Experience with modern data stacks (e.g., Snowflake, BigQuery, dbt) Contributions to open source AI/ML projects Experience supporting production systems on-call What You’ll Do: Design and deliver production AI and agentic systems across document intelligence, workflow automation, and copilots Own architecture decisions for LLM-based systems, including retrieval, orchestration, memory, tool use, and evaluation Build and maintain evals and observability frameworks to ensure system quality, reliability, and performance Optimize systems for cost and latency at production scale Partner closely with AI Product to scope, sequence, and deliver high-impact features Collaborate with Data Engineering on pipelines, schemas, and data quality foundations Mentor engineers working on AI-adjacent systems and elevate team capabilities Evaluate vendors, models, and tools through POCs, benchmarking, and cost-performance analysis Ship quickly, iterate in production, and continuously improve system performance Salary Range: $90,000-150,000/year, depending on experience Why PLACE: We believe people do their best work when they’re trusted, supported, and surrounded by others who are equally driven. That’s why this role includes a “work from the PLACE you work best” approach—at home, in an office, or on the move. Our competitive benefits include PTO as needed, comprehensive insurance coverage, a 401(k) match, stock option grants, and a stock purchase plan. Every team member is an owner, building the “PLACE” they are proud to call “my company.”