Fingerprint

Engineering Manager, Automation Intelligence

Undisclosed

Remote. The employer does not say where candidates may be based.

Location not stated

Employer listed it 10 days ago · Added 8 days ago

First listed 10 days ago and still open.

Salary

$159,000 to $215,000

Location

Location not stated

Timezone

Not stated

Contract

Full-time

Experience

Mid

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours: Not mentioned in the advert
Where you can work from: Fingerprint teammates need to be authorized to work from their home location.
Contract: Not mentioned in the advert
Experience asked for: Not mentioned in the advert
Pay: Compensation & Transparency

Remote flexibility

Undisclosed

The listing is advertised as remote but does not state which countries or regions candidates may work from.

Why this role is Undisclosed

We only label a role Work from anywhere, Region restricted or Work from home when the employer's own wording says so. We checked this advert under our current rules and found no country or region eligibility requirement in it. We don't guess, so it stays Undisclosed until the employer publishes enough location information. Here is exactly what the advert left out.

Countries you can work from: Not stated. The advert only gives "Remote", which names no country you must live in.
Whether the work is remote: Confirmed by the employer: "Fingerprint is a globally dispersed, 100% remote company."
Working hours: Not stated. No timezone overlap or set hours are mentioned, so assume nothing either way.

Worth a look all the same. Missing wording is usually a rushed job posting rather than a closed door, so ask where you can be based in your first message, before you write a tailored application.

What the employer says

Source listing states candidate location: "Remote"

What Nomaders makes of it

No residency or region requirement found in the job description
Check with the employer before assuming you can work from abroad

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Experience: employer states

Written as a nice-to-have

“Engineering management experience: 3+ years managing software engineers, ideally including senior and staff-level ICs, with a track record of shipping products — not just features — through launch”

Questions worth asking: Nomaders interpretation

The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

Fingerprint empowers enterprises to detect and stop online fraud with the world’s most accurate device intelligence. We lead our industry with bleeding-edge identification capabilities and work on turning new ideas and discoveries in the fraud detection space into reality. Our customers range from innovative startups to leading enterprise companies, including Plaid, Dropbox, and Booking.com.

Fingerprint is a globally dispersed, 100% remote company. We were named on on the 2026 Forbes Best Startup Employers list and ranked #803 on the 2026 Inc. 5000 list of America’s fastest-growing private companies.

We have raised $77M and are backed by Craft Ventures ( Tesla, Facebook, Airbnb ), Nexus Venture Partners ( Postman , Apollo.io, MinIO , Druva) and Uncorrelated Ventures ( Redis, Rollbar, Gradle ).

The Role in Context

Fingerprint's device intelligence platform processes billions of identification events for companies that need to know who — or what — is on the other end of a request. Increasingly, the answer is not a person. AI agents, AI assistants, crawlers, headless browsers, and malicious automation now make up a large and fast-growing share of internet traffic, and telling them apart from humans — and from each other — is becoming one of the most important problems our customers ask us to solve.

We are standing up a dedicated Automation Intelligence engineering team to own that problem end to end: detection in the browser, detection at the edge, the classification taxonomy that tells customers what kind of automation they're seeing and how confident we are, and the API that customers and their agents call.

We're looking for an Engineering Manager to lead this team. You'll inherit a small, senior group (three engineers to start, growing to four or five) and a clear mandate. You report directly to the VP of Engineering.

Your Mission

Ship the product — Take the automation intelligence product through Beta to GA, and then to a standalone commercial launch. You own engineering readiness: scope, estimates, service reliability, operating limits, API and MCP coverage, and the evidence that it's ready

Make detection accurate and keep it that way — Build the team's quality loop: a test corpus of known bots, agents, and automation frameworks; continuous false-positive and false-negative testing; a regression test for every confirmed gap; and coverage benchmarked against the best in the industry. Detection quality is the product

Build a team that runs itself — Set the team up so adding a detection, shipping a change, or running a staged rollout doesn't depend on another team's calendar. Grow the engineers, hire the next seats, and create an environment where senior people do their best work

Lead the AI-native engineering model — AI agents write the code by default and engineers decide what gets built and whether it's right. You'll operate that model, measure it honestly, and produce the playbook the rest of engineering adopts

What You'll Do

Delivery & Product Readiness

Own the engineering plan for Beta → GA → standalone launch: PRD partnership with the product manager, estimates, sequencing, and the readiness evidence that gates each stage

Define and prove the service's operating envelope — throughput, latency tails, rate limiting, availability SLOs — before customers depend on it

Run staged rollouts for detection changes that affect customer bot rates, with feature flags, rollback, and clear go/no-go evidence for customer-facing teams

Turn design-partner feedback and customer-reported false positives into prioritized, owned engineering work

Detection Quality & Coverage

Stand up and run a weekly detection quality loop: prioritized test corpus, automated FP/FN testing across browser and edge detection, regression coverage, and drift monitoring

Drive coverage of the automation that matters most to customers — AI agents and assistants first — benchmarked against industry leaders, and prioritized by customer exposure rather than catalogue size

Guide the hard problems: self-hosted agents, stealth and anti-detect browser automation, and fingerprinting agent infrastructure across browser, network, and runtime evidence

Evolve the classification contract from "automation detected" to rich agent context — automation type, verified vs. inferred identity, confidence, and reason codes — and keep detection and attribution measured separately

Team Leadership

Requirements

The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.

Benefits

No benefits package published with this listing. Ask about it at first interview.

How to apply

1Check the flexibility label above, undisclosed, matches where you plan to live and work.
2Tailor your CV to the role at Fingerprint, mentioning your remote working experience.
3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 9d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

$159,000 to $215,000 · You'll be taken to the employer's careers page.