Senior Product Designer

About the role

The role defines how the platform looks, feels, and wins for customers. You shape product vision and turn complex workflows into intuitive interfaces that feel inevitable.

Data roles turn raw information into decisions. Analysts query databases and build dashboards. Data scientists build models that predict outcomes. Data engineers build the pipelines that move and store data. All three work closely with business teams and need a mix of statistics, coding, and communication. Nearly every modern company runs on data teams, from startups to banks. A strong portfolio of past analyses matters more than degrees in many hiring decisions.

Key facts

What you'll do

Interface decisions guide customer experience, and clarity drives adoption.

You sit with estimators and PMs to map real workflows and surface hidden pain points.

You turn user frustrations into product truth by defining what the platform delivers and why it matters.

You own end to end ideation, prototyping fast, testing with users, and killing ideas that do not serve value.

You work hand in hand with engineering in Figma and code to ship features without handoffs.

You partner with marketing and sales to craft a crisp product story that equips GTM teams to win.

You elevate the current platform with craft, speed, and taste instead of delivering another clunky enterprise tool.

Requirements

The posting states a bachelor's degree requirement. You bring founder level ownership by rolling up your sleeves and owning outcomes beyond pixels.

Your portfolio demonstrates taste, user research depth, and a record of shipping products people love.

You learn quickly and become dangerous in thirty days without prior construction experience.

You work with intense effort in a war like environment against legacy software that is slow and manual.

You manage many requests from hundreds of customers and turn chaos into clarity to ship what matters.

You use Figma fluently, understand HTML and CSS, and communicate with engineers to earn their respect.

Practical notes

This is a full time in person role based in San Francisco.

Typical interview steps

Data interviews commonly include a SQL or coding exercise, a statistics question, and a case study. Candidates may be asked to design a metric, interpret an experiment, or build a small model. Some companies give a take-home analysis. Expect questions about past projects and the business impact of your work. Interviewers often evaluate how you communicate uncertainty and business impact, not only the math. Bringing a clean write-up of a past analysis to the interview is well received.

Good to know

Design in construction software focuses on complex workflows where clarity accelerates adoption.

AI assisted tools read drawings and automate takeoffs to make preconstruction faster and more accurate.

Founders backed by venture investors prioritize speed and craft in product delivery.

Role requires close collaboration with engineering and sales teams to align product and go to market.

Questions to ask

Worth asking in any interview: how the team measures success, who the role works with daily, what the onboarding looks like, and what the company is trying to achieve this year. Asking what past hires did well is a strong final question. Keep the list short and pick the questions that matter most to you.

Career growth

Data careers grow toward senior analyst, staff data scientist, or data engineering lead. Many professionals specialize in machine learning, analytics, or infrastructure. Cross-functional work with product and engineering teams becomes more important at senior levels. The field changes quickly, so continuous learning is part of the job. Professionals who can translate numbers into decisions tend to advance fastest.

About the company

Construction is one of the largest industries in the world, but it is also one of the least technologically innovative spaces. Conducting fast and accurate cost estimates is a massive pain point because of the tedious nature of takeoffs (measuring & counting materials needed from the drawings).