Product Engineer Interact

Youll own Firecrawls browser interaction layer the product that turns Firecrawl from a data extraction tool into the eyes of every AI agent on the web. Interact lets developers scrape a page and then pull data by acting on it: clicking filling forms navigating completing authenticated workflows extracting data static scraping cant reach.

This is our #1 product hire. You own the product decisions not just the code. You talk to customers figure out what they actually need (not what they say they need) make prioritization calls with incomplete information and ship the right thing fast. You also build it but the product judgment comes first.

Salary: $180000 to $290000/year (Range shown is for U.S.-based employees in San Francisco CA. Compensation outside the U.S. is adjusted fairly based on your countrys cost of living.)

Equity: Up to 0.15%

Location: San Francisco or Remote (Americas UTC-3 to UTC-10)

Experience: 3 years shipping developer-facing products in browser automation web scraping or agent tooling

About Firecrawl

Firecrawl is the easiest way to extract data from the web a single API call to turn any URL into LLM-ready data. 8-figure ARR 100k GitHub stars 26 people. Were building essential infrastructure for how AI agents interact with the web.

What This Role Actually Is

A product owner who can engineer not an engineer who occasionally thinks about product.

You talk to customers constantly. You develop an intuition for what agent developers are actually trying to do not just what theyre asking for. You make product bets what to build what to skip what to kill with imperfect data and real tradeoffs.

You also understand agentic systems deeply enough to know how agents choose and use tools what makes an interaction API reliable vs. fragile at scale and how to test whether agents actually prefer what youve built.

Then you build it yourself. Design to deployment one person.

Day to day you:

• Own the Interact product end-to-end scrape-then-interact workflows prompt-based interaction session chaining persistent profiles live view

• Talk to customers and read every GitHub issue Discord thread and support ticket that touches Interact not because someone asked but because thats where the signal is

• Separate what customers ask for from what they actually need and prioritize accordingly

• Ship fast product experiments hypothesis build measure decide in days

• Make prompt-based interaction reliable and magical: click login and fill the email field should just work on any page every time

• Dogfood relentlessly you use the API before you ship changes to it

Youre a Fit If You

• Think product-first. You form opinions about what to build and why before anyone scopes a ticket. You can hold ambiguity and still make a call.

• Have deep empathy for developers. Youve built things developers loved. You know the difference between works and delights at the API level.

• Understand the scraping and browser data space. This isnt abstract to you you know what breaks whats hard and what matters.

• Get agentic systems. Youve thought about (or built) tooling for AI agents. You understand how agents select tools where interaction fails and what reliable agent workflows require.

• Ship fast and learn faster. You write code own features and iterate. Ambiguity doesnt slow you down.

Youre Not a Fit If You

• Need a PM to tell you what to build

• Build great infra but dont care how it feels to the developer on the other end

• Havent thought about how AI agents actually use browser interaction tools

• Optimize for technical elegance over shipping the right product

Benefits & Perks

Available to all employees

• Salary that makes sense $180000$290000/year based on impact not tenure

• Own a piece Up to 0.15% equity in what youre helping build

• Generous PTO 15 days mandatory anything after 24 days just ask (holidays excluded); take the time you need to recharge

• Parental leave 12 weeks fully paid for moms and dads

• Wellness stipend $100/month for the gym therapy massages or whatever keeps you human

• Learning & Development Expense up to $1000/year toward anything that helps you grow professionally

• Team offsites A change of scenery minus the trust falls

• Sabbatical 3 paid months off after 4 years do something fun and new

Available to US-based full-time employees

• Full coverage no red tape Medical dental and vision (100% for employees 50% for spouse/kids) no weird loopholes just care that works

• Life & Disability insurance Employer-paid short-term disability long-term disability and life insurance coverage for lifes curveballs

• Supplemental options Optional accident critical illness hospital indemnity and voluntary life insurance for extra peace of mind

• Doctegrity telehealth Talk to a doctor from your couch

• 401(k) plan Retirement might be a ways off but future-you will thank you

• Pre-tax benefits Access to FSAs and commuter benefits (US-only) to help your wallet out a bit

• Pet insurance Because fur babies are family too

Available to SF-based employees

• SF HQ perks Snacks drinks team lunches intense ping pong and peak startup energy

• E-Bike transportation A loaner electric bike to get you around the city on us

Interview Process

1. Application Show us what youve shipped. A product a GitHub link a write-up.

2. Intro Chat (20 min) Get to know each other.

3. Product Deep Dive (60 min) How you think about product decisions DX tradeoffs and translating customer signal into shipped features.

4. Technical Deep Dive (60 min) Architecture system design and how you think through hard problems live.

5. Paid Work Trial (12 weeks) A real product problem. We evaluate shipping speed product judgment and DX quality.

6. Decision Fast.

If you want to own the product that makes AI agents actually useful on the web and youre the kind of person who talks to customers before writing code this is your role.

Required Experience:

IC