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1 month ago

Product Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Product-focused software engineer needed to design, prototype, and ship end-to-end AI-powered GTM workflows. You’ll own features across product, engineering, and customer workflows, collaborate with design and GTM teams, and help define how AI agents behave in real-world use cases. Move quickly from idea to shipped product, shaping architecture and platform direction.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Own product surfaces end-to-end, from identifying opportunities to shipping and iterating on solutions
•Work directly with customers, CSMs, and GTM teams to deeply understand workflows and pain points
•Design and build fullstack features that drive user impact and business outcomes
•Rapidly prototype and test new ideas, especially in ambiguous or zero-to-one spaces
•Help define how AI agents behave, reason, and deliver value in real-world workflows

Pay and Benefits

Salary: USD 150,000 - 250,000 annually

Key Requirements

•3+ years of experience as a software engineer, product engineer, or in a product-focused engineering role
•Strong fullstack foundation, especially with TypeScript, React, NextJS, and NodeJS
•A track record of owning products or systems from concept through launch
•High agency — you naturally move things forward without waiting for direction
•Strong product intuition and focus on user experience and business impact, not just technical correctness

Experience:3+ yearsAiStartupGo-to-market

Skills:OwnershipCommunicationCollaborationPrototypingProblem-solving

Languages:English

Tech Stack:TypeScriptReactNextJSNodeJS

Company Brief

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Develops AI-powered tools for revenue and marketing teams to automate outreach, personalize messaging at scale, and optimize engagement using large language models and data-driven insights to improve conversion and pipeline efficiency.

Industry: SaaS

Website

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