Agent Experience Engineer

Description

The company is looking for a high-agency, product-minded engineer with strong experimental and data instincts to own how agents discover, understand, and use the company. You'll ship fast, run rigorous A/B tests, and turn what you learn into a better product, for an audience that isn't human.

This is not a pure research or data science role. We want an engineer who brings scientific rigor to product development: forming hypotheses, running experiments, analyzing results, and shipping better agent experiences. Prior agent experience is valuable, but raw engineering ability, shipping velocity, and learning speed matter most.

Salary Range: $235,000–$260,000 USD/year (SF) / $217,000–$233,000 CAD/year (Toronto)

Equity Range: Competitive equity. Details shared during the process.

Location: San Francisco, CA (SF HQ) or Toronto, ON (Toronto Hub). Hybrid, onsite 3+ days a week.

Job Type: Full-Time

Experience: 5+ years

Work Authorization: Must be authorized to work in the United States or Canada. We're not able to sponsor US visas right now. For Canada, we'll consider sponsorship on a case-by-case basis through our Toronto Hub.

About the company

The company is the easiest way to turn the web into data AI agents can use. One API call converts any URL into clean, LLM-ready markdown or structured data. It's the boring-hard problem everyone building with LLMs eventually hits, solved.

We hit 8 figures in ARR in year one and more than doubled it in year two. Growth like this is rare, and we're just getting started.

We're a small team punching far above our weight. Everyone here owns a real piece of the product and company, end to end, and runs it themselves. No hiding behind process or headcount.

This is a place for people who want to work at the frontier: an AI company building the infrastructure other AI companies run on, not one bolting AI onto an existing product. We move fast, go deep, and are building the tools superintelligence will rely on to gather data from the web. That library is called Alexandria, and it starts now.

Responsibilities

• Design and ship A/B tests across agent-facing surfaces (MCPs, CLIs, skills, APIs, documentation) to see how agents actually use the company
• Turn experiment results into shipped product improvements, fast
• Track emerging agent tools, models, and harnesses (Hermes, OpenClaw, and whatever's next) closely enough to know what they mean for us
• Form hypotheses about how agents discover, interpret, and select tools and capabilities, then test them in production
• Own the problem end to end, from question to shipped answer
• Bring scientific rigor to product development without turning it into a research project

Requirements

• A track record of shipping high-quality products fast. Not prototypes, not decks
• Comfort designing A/B tests, reading behavioral data, and acting on what it tells you
• Familiarity with agent-facing surfaces: MCPs, CLIs, skills, APIs, documentation
• You actively follow emerging AI tools, models, and harnesses. Hermes, OpenClaw, whatever's next
• Genuine curiosity about how agents select tools, interpret capabilities, and interact with products
• High agency. You can operate independently in a space that doesn't have a playbook yet
• Often an ex-founder, early startup engineer, prolific open-source contributor, or someone with impressive public work
• What We're NOT Looking For
• Someone looking for a pure research or data science role. This is a shipping job first
• Someone who needs a mapped-out roadmap before they can move
• Someone who treats experimentation as a report to write rather than a lever to pull
• Someone excited by agents in theory who hasn't actually built for them
• A Note On Pace
• We operate at an absurd level of urgency because the window for what we're building won't stay open forever. If that excites you, keep reading. If it doesn't, no hard feelings, but this role probably isn't for you.

Benefits

• Available to all employees
• Salary that makes sense: $235,000–$260,000 USD/year (SF) / $217,000–$233,000 CAD/year (Toronto), based on impact, not tenure
• Own a piece: Gain competitive equity in what you're 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 all parents
• Wellness stipend: $100 USD/month for the gym, therapy, massages, or whatever keeps you human
• Learning & Development: Expense up to $1,000 USD/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 partner and kids). No weird loopholes, just care that works
• Life & Disability insurance: Employer-paid basic life and AD&D, short-term disability, and long-term disability. Coverage for life's curveballs
• Virtual care and a health guide: Teladoc for the couch doctor visit, plus Rightway to answer coverage questions and fight billing errors for you
• Mental health: Talkspace, therapy and psychiatry on your schedule
• Fertility and family building: Carrot, covering you and your partner
• EAP: Free confidential counseling, legal and financial consults, and online will prep through Guardian
• 401(k) plan: Retirement might be a ways off, but future-you will thank you
• Pre-tax benefits: HSA, FSA, and commuter benefits to help your wallet out a bit
• Supplemental options: Extra life and AD&D, accident, critical illness, hospital indemnity, plus pet, legal, and identity protection through MetLife
• Available to Canada-based full-time employees
• Full coverage, no red tape: Extended health, dental, and vision through Manulife (Diamond, the top tier), 100% employer-paid for you, your partner, and your kids
• Life & Disability insurance: Employer-paid life, AD&D, short-term disability, and long-term disability. Coverage for life's curveballs
• Virtual care: Dialogue Premium, so you can see a doctor or nurse from your couch, any hour
• Mental health: Talkspace Elite, therapy and psychiatry on your schedule
• Fertility and family building: Carrot, covering you and your partner
• Retirement: Group RRSP through Wealthsimple, so future-you can thank you
• 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
• Available to Toronto-based employees
• Toronto Hub perks: Snacks, drinks, team lunches, glass-walled views down University Avenue, and a home base steps from Union Station
• Transit, covered: A PRESTO card loaded for GO Transit, subway, and streetcar, plus station parking if you drive to the train. Winter-proof, on us
• Interview Process
• Application Review: Send us your resume and a link to something you've built. We care about what you've actually shipped, not where you went to school.
• Intro Chat (~25 min): A quick conversation to get to know each other before we go deep. We'll talk about what you've been working on, what drew you to the company, and what you're looking for in your next role. Time for your questions too.
• Technical Chat (~45 min): We'll walk through something you've built and a real agent-experience problem from our world. Come ready to think out loud. We care how you reason and experiment, not whether you know the "right" answer going in.
• Founder Chat (~25 min): Culture, pace, ownership, and how you like to work. Time for your questions too.
• Paid Work Trial (~40 Hours): Ship something real with the team, paid at a contractor rate. It's the truest signal for both sides. You see what building at the company actually feels like, and we see how you operate.
• Decision: We move fast after the trial.
• If you want to define how agents experience the web, from the ground up, you should join us.
• Apply now.
• Experience: Any (new grads ok)
• Visa: US citizen/visa only