Senior Product Engineer

Reposted 19 Days Ago
Be an Early Applicant
Cambridge, MA, USA
Hybrid
160K-230K Annually
Senior level
Artificial Intelligence • Real Estate • Software • Analytics
The Role
Drive full-stack architecture and technical direction while building and shipping product features across backend, frontend, and data services. Design data pipelines, coordinate queries across diverse sources, optimize performance, and support real-time or multiplayer experiences. Provide architecture and code reviews, mentor engineers, reduce technical debt, evaluate technologies, and help shape product strategy in a high-ownership environment.
Summary Generated by Built In

About GrowthFactor

GrowthFactor is the AI analyst for commercial real estate. It makes expansion analysis as easy as asking a question, then grounds every answer in a model tailored to your brand, so you can open the right locations, faster. Ask where to grow in plain English and see the answer on a live map.

About the role

We're looking for a Senior Product Engineer on our Product Engineering team. You will put companies in physical buildings where they belong. This is a high-ownership role for someone who wants to shape both the technical foundation and the product direction of a company at an early and critical stage.

We care about what you’ve done, not how long you’ve done it for. You will write your own tasks.

What you'll do

  • Drive architecture and technical direction across the full stack, backend, frontend, and data services.

  • Build and ship product features

  • Raise the technical bar for the team through architecture review, code review, and hands-on mentorship

  • Identify and eliminate complexity and technical debt before it becomes a blocker

  • Prototype and evaluate new technologies and make principled decisions about what belongs in the stack

Minimum qualifications

  • Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience

  • Designed & shipped a full-stack application involving heavy data model manipulation in Python or TypeScript.

  • Coordinated queries across disparate data sources with an eye towards speed

  • Designed, built, and maintained data pipelines to unify multiple different data sources, at different frequencies, using a common orchestration tool (e.g., Dagster, Airflow)

  • Built an application that involved multiplayer and/or client-side sync

  • Showed a lot of data on a screen really fast

Preferred qualifications

  • 4+ years of experience with backend development using Python and/or TypeScript

  • 4+ years of experience with relational databases and data modeling, including schema design, normalization, and query optimization in PostgreSQL

  • Experience building or integrating with AI agents, LLM-based workflows, or Model Context Protocol (MCP) tooling

  • Experience working with geospatial data, including storage, querying, or visualization (e.g., PostGIS, GeoJSON, or similar)

  • Familiarity with sync engines or real-time data synchronization patterns (e.g., Zero, ElectricSQL, or similar)

  • Experience defining and driving technical strategy across a small engineering team, including establishing standards, reviewing architecture, and mentoring engineers

  • Experience working in fast-paced, ambiguous environments with a high degree of ownership

About you

You simplify and accelerate by finding the most direct path to a good outcome and ruthlessly cutting what doesn't serve it. You reason from first principles rather than reaching for a playbook, and you have strong enough taste to know what good looks like in code, in product, and in process. You can separate your identity from your work, which means you're willing to throw away something you built if something better exists. You're curious, and you build without waiting for permission.

Skills Required

  • Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience
  • Designed and shipped a full-stack application involving heavy data model manipulation in Python or TypeScript
  • Coordinated queries across disparate data sources with an emphasis on speed
  • Designed, built, and maintained data pipelines unifying multiple data sources at different frequencies using a common orchestration tool such as Dagster or Airflow
  • Built an application involving multiplayer functionality and/or client-side synchronization
  • Displayed large amounts of data on screen with high performance
  • 4+ years of backend development experience using Python and/or TypeScript
  • 4+ years of experience with relational databases and data modeling, including PostgreSQL schema design, normalization, and query optimization
  • Experience building or integrating AI agents, LLM-based workflows, or Model Context Protocol tooling
  • Experience with geospatial data storage, querying, or visualization, such as PostGIS or GeoJSON
  • Familiarity with sync engines or real-time data synchronization patterns
  • Experience defining technical strategy, establishing standards, reviewing architecture, and mentoring engineers
  • Experience working in fast-paced, ambiguous environments with high ownership
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The Company
HQ: Ciudad de Mexico
19 Employees
Year Founded: 2023

What We Do

GrowthFactor is an AI-powered operating system and analyst for commercial real estate. Its platform helps retailers and franchise brands plan expansion by combining site discovery, market analysis, transparent site scoring, revenue forecasting, demographic and foot-traffic analysis, cannibalization modeling, deal-flow management, and stakeholder collaboration. The company aims to make complex location intelligence accessible, explainable, and actionable so growing businesses can make faster, better-supported store expansion decisions.

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