Senior GTM Engineer

Senior Go-to-Market (GTM) Engineer

Employment Type:Full time, independent contractorWork Model:RemoteWork Hours:US work hoursAbout the company:We're a boutique, AI-native outbound agency that builds pipeline for ambitious companies through highly engineered cold outbound. We're not a lead-gen shop running the same template across a list. Every campaign is custom-built with AI, automation, enrichment, deliverability engineering, and real research, and tuned per client until it converts.Our clients span venture-backed B2B SaaS, AI startups, biotech, financial services, founders raising capital, private equity and investment firms, commercial real estate owners sourcing tenants, M&A brokerages, and high-growth service businesses. One week you're building outbound to Heads of Claims at insurance carriers, the next it's an investor-outreach raise for a biotech seed round, or helping a CRE owner fill a 200,000 sq ft building.We run real volume, 30,000 to 100,000+ emails a month per client across dedicated infrastructure, paired with LinkedIn and, at scale, cold-calling on inbound replies. We're intentionally lean, deeply technical, and obsessed with quality over volume. We win on a proof flywheel: most engagements start with a free pilot and carry a hard guarantee (for example, 20 qualified meetings in 90 days), so the work has to actually perform.Today, every client engagement is personally delivered by the founder. That changes with this hire.This is the most important hire we'll makeWe're not looking for someone to execute tasks. We're looking for the operational backbone of the company.
* Someone who can build campaigns that outperform the founder.
* Someone who treats outbound as both an engineering and a strategic discipline, and can't stop improving the system.
* Someone who won't just help us scale, but will define how we scale.
* Multi-channel by default:email and LinkedIn run in parallel, with cold-calling on inbound replies at scale to roughly double meeting conversion.
* Deliverability as an engineering discipline:brand-permutation domains, warmup, MX-matched sending (Google senders to Google recipients, Microsoft to Microsoft), inbox-placement testing, spam-word and copy filtering, and blacklist monitoring.
* Signal-based and custom sourcing:funding and SEC/Form-D signals, hiring signals, tech-stack fingerprinting, lookalike modeling, directory and portal scrapes, and creative angles (like inferring owner age and tenure to time an exit) that most agencies never think of.
* Waterfall enrichment and validation:multi-provider email/phone finding, MX classification, and hard ICP scrubbing (revenue caps, exclusions, entity matching) so lists are clean before a single send.
* AI personalization that doesn't read like AI:per-prospect merge variables (their ideal-customer avatar, ICP scenario, industry) built from website scrapes, plus spintax and variant testing to avoid content fingerprinting.
* Offer design that gets replies:low-friction front-end hooks (free pilots, trials, lead magnets), never audits, never pay-per-meeting.
* LinkedIn at scale:rented, rebranded real accounts, connect-plus-DM, and Sales Navigator free InMails, carrying the same personalization we run on email.
* Documented, measured delivery:every campaign documented (segment, persona, thesis, offers, tests) with weekly client updates.
* Reply rate— our first read on deliverability; if it drops, we diagnose inboxing before we touch copy
* Reply sentiment— positive vs neutral vs negative, so we know whether the message is actually landing
* Interested replies per total leads contacted— our core efficiency metric and the truest measure of a campaign
* Meeting booking rate
* Qualified meeting booking rate— the number clients care about, and what backs our guarantee
* Close rate— we track all the way to closed revenue, because a booked meeting was never the goal; a client win is
* Clayand custom sourcing/enrichment workflows
* Sending infrastructure:Instantly, Smartlead, Email Bison, or similar, plus custom sending setups
* Deliverability:warmup and inbox-placement tools (e.g., MailReach), DNS/MX, DKIM/SPF/DMARC via InboxKit
* Enrichment & validation:MillionVerifier, NeverBounce, AnyMailFinder, Prospeo, and multi-provider waterfalls
* Data sources:Apollo,Ocean.io, GetLeads, Apify actors, SEC EDGAR / Form D, BuiltWith
* AI:Claude / Claude Code, GPT, and prompt/agent design for large-scale research, sourcing, and copy
* LinkedIn:Sales Navigator and LinkedIn automation
* Automation & scripting:APIs, n8n / Make / Zapier, plus comfort with light Python and spreadsheet-based workflow design
* Likely 5–8+ years building outbound systems in modern B2B
* You love solving hard GTM problems and obsess over better ways of doing things
* You don't need SOPs for everything; you thrive in ambiguity and enjoy figuring things out
* You combine strategy, copywriting, data, automation, deliverability, and AI into one skill set
* You're the person teammates co