Go-to-Market Engineer - Mountain View, CA, USA

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively You ship fast, keep things simple, and don't wait for permission Nice to Have Experience building GTM systems for an AI, voice, or developer-tools product Familiarity with contact center, CX, or telephony buyer personas Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! #J-18808-Ljbffr jobr.pro