Product Lead
You are the person who owns a product area the way a founder owns a company. Not a roadmap contributor. Not a requirements writer waiting on engineers to build. The full thing: the customer problem, the business case, the architecture, the implementation, the instrumentation, and the outcome.
About This Role
This role sits at the intersection of product management and software engineering. You spend your mornings talking to dealers and homeowners about what is slowing them down. You spend your afternoons designing the solution and using AI development tools to ship it. You are accountable for the output. Not the spec, not the handoff, not the ticket.
If you have been a product manager who always wished you could just build it yourself, or an engineer who always wished you owned the problem instead of the task, this is what you have been waiting for.
What WindowEdge AI Does
WindowEdge AI is the first revenue operating system built specifically for window and door dealers. Every other tool in this market was built for generic home improvement or general contractors and retrofitted. We are building from scratch, for this industry, with AI at the center.
The platform spans the full dealer and homeowner journey: AI voice and SMS agents that answer every inbound lead 24/7 and book appointments; a full CRM purpose-built for the window and door sales workflow; a native iOS app for dealers in the field; a homeowner-facing project portal for document exchange, payment collection, and project tracking; automated rehash agents that follow up with unsold quotes; and a quoting and measurement toolchain built around how window and door products are actually specified and sold.
Coming:
Deeper manufacturer and supplier integrations, AI-powered takeoffs and instant quoting, expanded analytics, and a homeowner experience that sets a new bar for home improvement projects.
Our customers run real businesses. A missed appointment is real money. A broken feature is a dealer who stops trusting us. Your job is to build the things that make us indispensable and make sure they work.
What the Role Looks Like Day to Day
Customer Engagement (Daily, Non-Negotiable)
You are in front of customers every day. Not once a sprint, not in quarterly reviews. Daily. You watch dealers use the CRM. You listen to homeowners navigate the portal. You understand the business: how a window dealer runs their sales team, why the office manager dreads Monday morning, what happens when a quote sits unanswered for five days. This is not background research. It is the input that drives everything else you build.
Requirements and Business Case
You define what to build and why, grounded in customer evidence, competitive context, and business impact. You write requirements that an engineer can implement without a meeting. You build the business case that justifies the investment. You own the decision to build, defer, or kill.
Architecture and Technical Design
You design the system. Data models, API contracts, integration patterns, security boundaries, mobile-backend interactions. You make the architectural choices that set the ceiling on what the product can become. You understand the constraints of a multi-tenant SaaS platform and design within them. You consult with engineering peers on tradeoffs and you make the call.
AI and Model Pipeline Development
You build features that incorporate AI, not as a novelty but as load-bearing infrastructure. That means working with STT models to improve transcription accuracy for window and door terminology; orchestrating multi-model pipelines that chain STT, LLM reasoning, and structured output; evaluating model tradeoffs across latency, cost, and accuracy; and building eval frameworks that catch regressions before they reach production.
Mobile Product Engineering
You build and own features that ship on iOS. You understand the native app architecture, the tradeoffs between native and web views, push notification delivery, background sync behavior, and how mobile UX constraints differ from desktop. You write Swift or React Native code when needed and you know what "feels native" means.
Payments and Financial Workflows
You design and implement payment collection flows that work for both dealers and homeowners: deposit requests, progress billing, payment links embedded in the portal, Stripe Connect configuration, webhook-based status updates, and failure handling that does not confuse a homeowner or lose a payment. You understand PCI scope and design with it in mind from the start.
Partner and Manufacturer Integrations
You own the integrations that connect WindowEdge to the broader ecosystem: manufacturer product catalogs and pricing APIs, distributor order management systems, lead aggregators, phone providers, and CRM platforms that dealers were using before WindowEdge. You design integration patterns that are robust, observable, and maintainable as the partner ecosystem grows.
Complex Workflow Management
You build the workflow engine behind the scenes: multi-step job pipelines, scheduled follow-up sequences, retry logic, deduplication, rate limiting, and the observability infrastructure that lets you know when something in a long-running workflow went wrong and why. You treat workflow correctness as a first-class engineering concern.
Rich Media Processing
You work with audio, images, and documents as primary data types, not edge cases. Voice call recordings, window measurements captured on a phone camera, homeowner-uploaded photos, installation documents, warranty PDFs. You design the processing pipelines that ingest, analyze, and surface this media in ways that save dealers time and reduce errors.
UX and Interface Quality
You are accountable for the user experience your area delivers, not just the functionality. Class-leading UX means intuitive flows, accessible interfaces, thoughtful empty states, responsive performance, and an attention to detail that makes the product feel world-class across web and iOS. You are not done when the feature works. You are done when it is excellent.
Security, Performance, and Data Protection
You set the standard for your area. Least-privilege access, input validation, encryption at rest and in transit, PCI-aware payment flows, TCPA-compliant messaging, and performance that holds under real dealer load. You do not treat security as a checklist. You treat it as a craft.
Measurement and Iteration
You define what success looks like before you build, instrument it during development, and measure it after launch. You close the loop. If the metric is not moving, you dig in and find out why.
The AI Toolchain
You use AI development tools to multiply your own output. Not to skip the hard thinking, but to eliminate the time between thinking and shipping. The people who thrive here have a multiplier mindset. They look at a 2-week task and find the AI-assisted path that takes 3 days. Then they use the remaining time to build something else.
AI coding assistants
Claude Code, OpenAI Codex, Gemini CLI for feature development, refactoring, test generation, and security review
Multi-model orchestration
Chaining STT, LLM, and structured output models in production pipelines with latency budgets, fallback strategies, and cost controls
Local models
Running and evaluating models locally for latency-sensitive or data-sensitive workloads
Agent design
Building multi-step AI workflows to automate research, analysis, validation, and customer-facing automation
Prompt engineering
Writing, evaluating, and iterating on system prompts across voice, SMS, and document processing contexts
Testing and validation
Defining test coverage, writing test cases, and building eval frameworks for AI outputs before production
Security fundamentals
Credential management, input validation, PCI scope awareness, TCPA compliance, data encryption, least-privilege architecture
What We Are Looking For
Required
- 5+ years of combined product management and software engineering experience, in any combination that means you can do both well
- Genuine coding ability in TypeScript, Swift, Python, or equivalent. You have shipped production code. You can review a pull request, debug a runtime error, design a data model, and trace a broken workflow through distributed system logs without hand-holding.
- Demonstrated experience owning a product area end-to-end: from customer discovery through architecture, delivery, and measurement
- Hands-on experience with AI development tools (Claude Code, Codex, Copilot, Cursor, or similar) in a professional or serious personal project context
- Strong security instincts: OWASP top 10, credential handling, PII protection, payment data scope. You design systems that protect customer data by default.
- Clear communication with non-technical customers. You can run a discovery call with a window dealer owner and translate what you hear into a product decision the same day.
- Comfort making decisions with incomplete information. You gather what you need quickly and move.
Strongly Preferred
- Experience with voice AI pipelines and STT model configuration: VAPI, Twilio, Deepgram, ElevenLabs, Whisper, or similar
- iOS platform engineering experience: Swift, SwiftUI, push notifications, background sync, or React Native shipping to App Store
- Payment platform experience: Stripe Connect, embedded payment UX, webhook-based payment state machines, PCI scope management
- Background in vertical SaaS, especially trades, home services, or home improvement (ServiceTitan, Housecall Pro, Jobber, Procore)
- Experience designing complex workflow engines: multi-step job pipelines, retry logic, deduplication, rate limiting, and workflow observability
- Experience with rich media processing: audio analysis, image classification, document extraction, or similar
- Experience with manufacturer, distributor, or partner API integrations at the product design level
- Multi-tenant SaaS architecture experience: tenant isolation, row-level security, shared infrastructure with per-tenant configuration
- Startup experience: shipping without a large team, full test coverage, or a complete playbook
- Demonstrated use of Claude Code or Codex to deliver a non-trivial, end-to-end feature or product
This Role Is Probably Not Right For You If...
- You are most comfortable writing specs and letting engineers own the implementation
- You have not written or reviewed production code in the past two years
- Your idea of customer engagement is a monthly NPS survey
- You need consensus before making a product decision
- You treat security, performance, and accessibility as things that get added later
We wrote this list to save everyone time. If you are on the edge and think you have a case to make, make it.
On-Call Expectations
The platform runs 24/7 across voice, SMS, mobile, payments, and web. As a Product Lead, you are not carrying a pager like a backend engineer. But when your area has a production incident, you are in the room. You understand the system well enough to help triage fast and make the call on mitigation. We will share rotation expectations in the intro call.
Team and Reporting
This role reports directly to the Co-founder and CTO. You have a direct line to the people making product and business decisions. No product organization layer between you and the builders, no process for its own sake. You will work alongside engineers, customer success, and the founders. When you make a decision, it moves.
Compensation and Benefits
Base Salary
Competitive, benchmarked to AI-native startups. We share the number early.
Equity
Early-stage options, 4-year vest, 1-year cliff. Grant shared in the first conversation.
Equipment
MacBook Pro and whatever you need to work well.
Remote
Fully remote. Pacific time zone preferred; open across US time zones.
Flexibility
We care about output, not hours. Core overlap is 10am to 2pm Pacific.
Why Join Now
We have paying customers, real retention metrics, and a product that works. The next wave of features will define whether WindowEdge becomes the default platform for this industry.
Product Lead #1 sets the template. The way you work, the standards you enforce, the bar you hold: that becomes what “Product Lead at WindowEdge AI” means. When we hire Product Lead #2, they are learning from what you built. That is leverage most product roles never offer.
Interview Process
Simple, respectful, and fast
30-Minute Intro Call
Get to know each other and talk about the role.
Product & Technical Screen
A realistic scenario from our actual product and customer base. We want to see how you think and how you build.
Working Session
60-minute working session with engineering and a customer reference check.
Offer
We move fast when we find the right person.
Ready to Apply?
Email careers@windowedge.ai with a link to your LinkedIn profile and answers to these questions:
- 1In the past 2 years, have you shipped production code (TypeScript, Swift, Python, or similar) as part of your primary job responsibilities? (Yes / No)
- 2Have you used an AI coding tool (Claude Code, Codex, Cursor, Copilot, etc.) to build a feature or product end-to-end? (Yes / No)
- 3Have you owned a product area end-to-end, requirements through measurement, without handing off to a separate engineering team? (Yes / No)
- 4How many years of combined PM + engineering experience do you have? (0-2 / 3-5 / 5-8 / 8+)
- 5Have you shipped a native iOS app or built features on an iOS platform in a professional context? (Yes / No)
- 6Are you available to work primarily in Pacific time zone hours? (Yes / No)
- 7What is the coolest thing you have built in the past 2 years? Why is it so cool? How did you do it?
WindowEdge AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected by law.