Senior AI Product Engineer

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iSpeedToLead

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

🏠 Real Estate

🏪 Marketplace

🤖 Artificial Intelligence

Real Estate • Marketplace • Artificial Intelligence

iSpeedToLead is a real‑estate lead marketplace that delivers verified, high‑intent motivated seller leads to real-estate professionals. The platform combines human verification with AI-powered tools — including DealPredictor (closing potential scoring), AI call summaries and scripts, and lead-sorting filters — to help users find, buy, and convert leads quickly. iSpeedToLead offers multiple lead sources (Google, Facebook, SEO, TikTok, verified outreach), Auto-buy automation, CRM integration or a built-in CRM, and a money-back guarantee for inactive leads. The company highlights metrics such as $100M+ earned by members, 750+ verified leads daily, 40K+ members, and 50B data points powering its AI.

📋 Description

• Discover high-value product and operational problems by working directly with users, business owners, and internal teams, then frame clear success criteria before writing code. • Design and ship customer-facing AI features and internal automations across lead quality, matching, prediction, call intelligence, CRM, support, and operations. • Build agents and workflows that safely use tools, APIs, databases, calls, SMS, email, and other company systems — with human approval where risk requires it. • Create the context layer around models: instructions, retrieval, memory, structured outputs, tool definitions, permissions, and feedback loops. • Build reliable event-driven and scheduled automation using webhooks, queues, schedulers, retries, idempotency, audit logs, and graceful fallbacks. • Create evaluation datasets and automated checks that measure usefulness, accuracy, failure modes, regressions, latency, and cost — before and after release. • Investigate real production failures and improve the complete system, not just the prompt or the model response. • Turn successful solutions into reusable components and patterns that support additional iSpeedToLead niches without rebuilding from zero. • Own architecture, quality, security, and business outcomes — not just the pull request.

🎯 Requirements

• Strong record of building and shipping production software end-to-end, ideally in a SaaS, marketplace, or workflow product — with real users and real revenue on the line. • Strong Python and/or TypeScript, plus solid backend fundamentals: APIs, databases, auth, data models, testing, and deployment. • Hands-on experience shipping LLM-powered functionality using model APIs, structured outputs, tool/function calling, retrieval, context engineering, and agentic workflows. • Production automation experience: webhooks, events, queues, schedules, retries, idempotency, monitoring, and failure recovery — not just happy-path demos. • Practical evaluation skills: test sets, traces, quality metrics, regression checks, feedback loops, and root-causing real production failures. • Daily fluency with AI coding agents (Claude Code, Codex, Cursor, or equivalent) — you review, test, refactor, and secure generated work, not ship it raw. • English C1+; our stakeholders, users, and business owners are US-based, and communication must be sharp and clear. • AI-first by default — if you are not already using AI to 3x your own output, you will be behind the rest of engineering. • Product ownership and strong judgment in ambiguous, fast-moving environments — you clarify goals, make tradeoffs, and connect every technical decision to a business KPI.

🏖️ Benefits

• Impact: Own visible, high-value problems with direct access to decision-makers, users, and production feedback at the core of a product-led, AI-powered marketplace. • Autonomy: High ownership, low bureaucracy, and real authority to choose tools based on results and define the reusable AI architecture for multiple future niches. • Flexibility: Remote-first culture with flexible hours and async-friendly communication. 4+ hour overlap with Asia/Dubai required for weekly reviews. • Time Off: 15 paid vacation days plus 5 paid sick days annually. • Growth: Unlimited learning policy — paid courses, books, and growth resources. • AI-Heavy Environment: AI is deeply embedded across prospecting, research, engineering, and workflows. • Ownership: Real decision-making power and direct ownership of your outcomes.