AI Engineer — Biometrics at Didit

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Aug, 26

Salary

0.0

Posted On

23 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

User Acquisition, Funnel Optimization, Growth Marketing, CAC/LTV Analysis, SQL, SEO, Content Marketing, Lifecycle Marketing, Paid Search, Paid Social, Conversion Rate Optimization, Product-Led Growth, Technical Sales, Data Analytics, Attribution Tools, CRM Management

Industry

Software Development

Description

Job Description The role You'll own Didit's acquisition channels — activating new ones, managing and scaling the ones that work, and turning them into a steady flow of signups and pipeline. It's a hands-on role: you run the channels yourself, watch the numbers, and double down on what's working. What you'll do Activate and manage acquisition channels — paid, organic, lifecycle, partnerships, community, and whatever else moves the needle. Scale what works, cut what doesn't — measure each channel and double down on the winners. Grow signups and pipeline — drive self-serve growth and feed qualified leads to sales. Own the numbers — keep a clear picture of what's working across the funnel. What we're looking for You've grown a real funnel before. You've owned acquisition and activation for a SaaS, developer-tools, fintech, or API-first product and moved the numbers — not just managed an agency. You're analytical and hands-on. Comfortable in analytics and attribution tools, fluent with funnel math (CAC, LTV, conversion, payback), and able to design and read an experiment honestly. SQL or a willingness to learn it is a plus. You can run paid and organic. Practical experience across at least two of: paid search/social, SEO/content, lifecycle/email, partnerships — and the judgment to know which to bet on. You write clearly and persuasively. You can produce a landing page, an email, or an ad that converts, and brief others to do the same. You're self-directed and fast. You'll own the growth function early; we'll give you the product, the budget, and the autonomy. You can sell a technical product to a technical buyer — or you're hungry to learn identity/KYC/AML, compliance, and fraud well enough to. Nice to have Experience in fintech, crypto/Web3, marketplaces, or iGaming — our priority verticals. Familiarity with product-led growth and self-serve + sales-assisted motions side by side. Comfort with the modern growth stack (GA4, attribution, CRM, lifecycle/ESP, paid platforms) and lightweight no-code/automation. Familiarity with identity/KYC/AML, compliance, or fraud concepts. What we offer In-office in San Francisco — this is an in-person role. You'll work directly with the founders, product, sales, and developer-relations early, where decisions are fast and your impact is visible. Real ownership — you're early on the growth function in a Y-Combinator-backed company used by 2,000+ companies, with public pricing and a genuine free tier to grow on. Budget and autonomy — the channels, tools, and experiment budget to actually move the numbers. We'll discuss compensation directly during the process. About us Didit is infrastructure for identity and fraud. We give companies one API to authenticate, verify, and monitor users and businesses — including KYC, KYB, biometric liveness, AML screening, transaction monitoring, and wallet screening — all composable into any workflow and live in minutes. We’re the only identity provider formally attested by an EU member-state government as safer than in-person verification. We offer transparent pricing, 500 free checks per month, and global coverage across 220+ countries, 14,000+ document types, and 48+ languages. Backed by Y Combinator, we’re a small, fast-moving team building the identity and fraud layer for the internet. If you want to ship products used by millions and own meaningful scope from day one, we’d love to hear from you.

Responsibilities

Own and scale acquisition channels to drive a steady flow of signups and qualified leads for the pipeline. Measure channel performance and optimize the funnel through data-driven experiments and hands-on management.