Applied AI Engineer: Product & Experience

Flowcode•New York, NY

17h•$120,000 - $170,000

About The Position

Flowcode is hiring an Applied AI Engineer for its Product & Experience work. Flowcode is a personalization platform that combines customer touchpoints, CRM and CDP data, routing, and real-time decisioning. The company uses AI to build customer solutions at scale. In this role, you will build customer-facing experiences and internal tools, using AI to prototype and ship hubs, flows, partner sites, and other products. You will improve these experiences based on usage and feedback, and turn successful launches into reusable templates that scale across accounts, teams, and leagues. You will collaborate with AI product, design, growth, sales, and account teams. The company prioritizes demonstrated product-building ability and shipped work over credentials. The compensation range is $120,000–$170,000, plus equity and benefits. Starting pay depends on role-related skills, experience, qualifications, work location, and market conditions. Flowcode is an equal opportunity employer and values diversity; it does not discriminate on the basis of the protected characteristics listed in the posting.

Requirements

1–3+ years building with AI and shipping user-facing products through work, side projects, or independent projects.
Fluency with agentic coding tools such as Claude Code or Cursor, and sufficient technical depth to review and fix their output.
Strong front-end skills and a good eye for design, with the ability to work full stack when needed.
Working knowledge of APIs, MCP tools, and analytics sufficient to connect experiences to data and measure them.
Habit of using data and user feedback to decide what to change next.
Ability to work comfortably with non-technical teams and translate loose requests into clear plans.
A portfolio of sites, apps, tools, or experiences that people actually use.
Bias toward speed and ownership.

Responsibilities

Prototype and ship customer experiences, including hubs, flows, landing pages, fan experiences, and brand experiences, using AI prebuilds.
Turn one-off launches into reusable templates across accounts, teams, and leagues.
Build internal tools such as partner websites, onboarding flows, dashboards, and account reporting.
Release early and frequently, review data and feedback, and improve each version.
Work with design to maintain quality while moving quickly.
Translate requests from growth, sales, and customer success teams into clear plans and working builds.
Share recurring patterns with product teams so they can become product features.