We're looking for a Go-to-Market Engineer who can turn messy market data into usable prospect lists, automated workflows, and outbound campaigns that actually reach the right people.
This role sits between growth, sales, data, and automation. You should be comfortable scraping data from the web, working extensively in Clay, connecting APIs, enriching accounts and contacts, building lead-scoring logic, and creating workflows that reduce the amount of manual research the GTM team has to do.
You will not just receive a list and send emails. You will help build the system that finds the accounts, identifies the right people, gathers the right signals, qualifies them, and moves them into the right campaign.
What you'll do
- Build targeted account and contact lists based on ICP criteria, buying signals, company attributes, technologies, hiring activity, funding, geography, and other relevant data.
- Use Clay extensively for enrichment, research, waterfall enrichment, formulas, AI-based qualification, scoring, personalization, and workflow automation.
- Scrape structured and unstructured data from websites, directories, Google results, company pages, job boards, LinkedIn-adjacent sources, public databases, and other relevant sources.
- Work with scraping tools such as Apify, Browse AI, PhantomBuster, Firecrawl, ScrapingBee, Bright Data, or similar platforms.
- Clean, normalize, deduplicate, and validate large datasets before they enter outbound or CRM workflows.
- Connect APIs and webhooks between Clay, enrichment providers, CRM systems, outbound platforms, spreadsheets, and internal tools.
- Build automated workflows using tools such as n8n, Make, Zapier, or custom scripts.
- Create account and lead scoring systems using firmographic, technographic, behavioral, and intent signals.
- Research and test new data sources that can improve targeting or uncover accounts competitors are missing.
- Build trigger-based outbound campaigns around signals such as new hires, leadership changes, funding, technology changes, expansion, job postings, product launches, or other relevant events.
- Create scalable personalization using structured data rather than relying on generic AI-generated first lines.
- Push qualified leads and enriched account data into platforms such as HubSpot, Salesforce, Smartlead, Instantly, EmailBison, Apollo, or similar tools.
- Monitor enrichment accuracy, bounce rates, duplicate records, data coverage, workflow failures, and campaign performance.
- Work closely with sales and marketing to understand which data points actually correlate with meetings, opportunities, and revenue.
- Document workflows so they can be maintained, repeated, and improved as the GTM motion grows.
What we're looking for
- Strong hands-on experience with Clay.
- Experience scraping web data and turning it into structured datasets.
- Comfortable working with APIs, webhooks, JSON, CSV files, regex, formulas, and data transformations.
- Experience with tools such as Apify, PhantomBuster, Firecrawl, Browse AI, Bright Data, or similar scraping platforms.
- Experience with enrichment providers such as Apollo, People Data Labs, Clearbit, Crunchbase, BuiltWith, Similarweb, Hunter, Prospeo, Dropcontact, ZeroBounce, or equivalent tools.
- Experience building automations in n8n, Make, Zapier, or similar platforms.
- Understanding of B2B outbound fundamentals, including ICP development, segmentation, enrichment, email verification, personalization, and campaign structure.
- Ability to work with thousands or tens of thousands of records without creating a data mess.
- Comfortable troubleshooting workflows when an API breaks, a scraper stops returning data, or an enrichment source produces inconsistent results.
- Strong analytical thinking and the ability to decide whether a new data point is genuinely useful or simply interesting.
Nice to have
- Basic Python or JavaScript knowledge for scraping, transformations, or API work.
- SQL experience.
- Experience with HubSpot or Salesforce.
- Familiarity with cold-email infrastructure and deliverability.
- Experience building ABM or signal-based outbound programs.
- Experience working with large language model APIs for classification, research, and structured data extraction.
- Familiarity with tools such as OpenAI, Claude, Perplexity, or Gemini APIs.
- Experience building internal GTM tools or lightweight applications.
What success looks like
Success in this role means the GTM team spends less time manually researching prospects and more time working qualified opportunities.
You will be measured on things such as:
- Percentage of target accounts successfully enriched
- Accuracy of contact and company data
- Number of qualified accounts identified
- Workflow reliability
- Reduction in manual prospect research
- Email validity and bounce rates
- Conversion from sourced accounts to meetings
- Pipeline generated from GTM-engineered campaigns
The goal is not to build complicated automations for the sake of automation. It is to build a GTM data system that consistently finds better prospects, gives sales better context, and creates more pipeline.
