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Salary
$42k – $104k per year (Estimated)
Location
Remote (India, Mexico)
Seniority
Senior · 3+ years exp
Overview
Company
Impact
Profile match
Transform your online and offline shopping experience with Firework's leading video commerce platform. Discover how Firework helps brands connect, captivate, and convert in a seamless, all-in-one solution.

About Firework

Join Firework - Where Innovation Meets Impact

Firework is redefining the future of commerce as an AI and video commerce company - combining cutting-edge technology, an exclusive network of enterprise brands and retailers, and a first-mover position to win the agentic commerce race.

We've built the world's most advanced and largest video commerce platform, trusted by global brands and leading retailers. But we're more than software - our compounding network effect grows stronger with every partner we add, bringing the energy of in-store experiences online and transforming how businesses engage, convert, and build lasting customer relationships at scale.

Having raised over $235M to date, led by investors such as SoftBank Vision Fund 2, and operating at global scale, we offer unparalleled opportunities to solve complex challenges and drive meaningful impact in the future of connected commerce.

If you're curious, ambitious, and energized by big ideas - Firework is the place to grow, lead, and shape what comes next. Together.

Summary

Firework is a global start-up in high-growth mode with a vision to digitally transform video commerce. We're looking for a Sr. GTM Engineer to build the foundation of our go-to-market engine from the ground up - the systems, data infrastructure, and automations that power lead generation. This is a green-field, builder role: you'll design and stand up the enrichment, sourcing, scoring, and routing systems that turn our total addressable market into a healthy, qualified pipeline, and you'll own lead generation as a discipline end to end. You'll work closely with Sales to make sure the foundation you build directly translates into pipeline. This role is for someone who's energized by building from scratch, comfortable owning a problem with real ambiguity, and excited to use AI tools to move faster than a team this size normally could.

What you'll be doing

  • Build the foundation: stand up the core GTM systems and data infrastructure - CRM architecture, enrichment tooling, and the integrations that connect them - from the ground up

  • Own enterprise lead generation end to end: define and build the sourcing, enrichment, scoring, and routing logic that turns raw market data into qualified, sales-ready leads

  • Design and automate outbound and inbound lead flows so Sales always has a full, well-qualified pipeline without manual list-building or hand-offs

  • Partner with Sales and leadership to define what a qualified lead looks like, then build the systems that enforce it at scale

  • Use AI tools (including Claude) to prototype and ship lead-gen automations - enrichment, scoring, personalized outbound - quickly and iteratively

  • Continuously test and improve lead generation systems - instrument what's working, kill what isn't, and iterate as the market and team evolve

We'll be excited if you have

  • 3+ years of experience in a GTM engineering or demand generation role, ideally having built enterprise lead generation systems from scratch

  • Hands-on experience with a modern GTM stack - Salesforce, enrichment tools, sales engagement platforms, and automation tools

  • Working proficiency in SQL and comfort with at least one scripting language (Python or JavaScript) for building custom workflows and integrations

  • A track record of building or significantly improving lead generation systems - sourcing, enrichment, scoring, or routing - that measurably grew qualified pipeline

  • Genuinely tech-savvy, with comfort picking up new tools fast - including AI tools like Claude - to work smarter and stay ahead

  • Strong analytical instincts; you're comfortable digging into messy data to find the root cause of a pipeline or data-quality problem

  • Excellent written and verbal communication skills - able to translate technical systems into plain language for non-technical stakeholders

  • Sense of ownership and a builder's mindset; comfortable creating structure from zero and operating with autonomy in a fast-moving, resource-lean environment

  • Adaptable and collaborative, with the ability to shift gears quickly as priorities, tools, and processes evolve

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