Full-Stack GTM Engineer

At August , we’re building AI designed for one thing: helping law firms practice better. Unlike tools built for the AmLaw 100, our focus is on midsized firms — where efficiency, client service, and competitive advantage matter most.

Our platform helps lawyers draft, review, and analyze documents at scale, turning what used to take hours into minutes. We’re trusted by forward‑thinking firms across the U.S., Australia, and Asia, and backed by leading investors (NEA, Pear VC, Stanford Law) to grow globally.

We move quickly, learn directly from clients, and believe that AI is transforming the practice of law.

We’re looking for a software engineer to build and optimize the technical infrastructure that powers customer acquisition. You’ll design data pipelines, integrate third‑party APIs, build experiment frameworks, and systematically improve performance across our outbound, SEO, and automation systems.

This is systems engineering applied to go‑to‑market . You’ll write code, design architectures, instrument analytics, and run optimization experiments—the same technical work as any backend or infra engineer, just applied to acquisition systems instead of product features.

• Design and implement multi‑channel prospecting pipelines using Clay, Amplemarket, and Apollo APIs
• Build experiment frameworks to A/B test email sequences, subject lines, send times, and message variants
• Develop lead enrichment and scoring systems with automated data quality checks
• Implement webhook‑based response detection and automated routing logic
• Optimize deliverability: SPF/DKIM/DMARC configuration, domain warmup automation, bounce handling

• Build Linked In prospecting automation: connection requests, message sequences, engagement tracking
• Design rate limiting and anti‑detection systems to maintain account health at scale
• Implement targeting optimization: systematic testing of job titles, seniority, industries, company sizes
• Build analytics pipeline to track connection rates, response rates, meeting bookings by segment
• Develop session management and proxy rotation infrastructure

• Automate technical SEO: schema markup generation, sitemap updates, crawl error monitoring
• Build content optimization pipelines: keyword research automation, content gap analysis, meta tag generation
• Integrate Google Search Console API for ranking tracking and organic traffic attribution
• Design experiment framework for title patterns, URL structures, internal linking strategies
• Implement performance monitoring:
  Core Web Vitals tracking, page speed optimization automation

• Build referral tracking system: unique link generation, attribution logic, conversion tracking
• Design viral loop mechanics: referral incentive automation, reward distribution, fraud detection
• Implement analytics dashboard: viral coefficient tracking, referral funnel analysis, cohort performance
• Integrate with CRM and billing systems for automated reward fulfillment

• Instrument event tracking across all acquisition channels using Post Hog
• Build data warehouse ETL: aggregate data from Clay, Hub Spot, Amplemarket, Google Ads, Linked In
• Design A/B testing framework with Statsig: experiment allocation, variant tracking, statistical analysis
• Develop real‑time dashboards for outbound performance, SEO rankings, referral metrics, conversion funnels
• Build attribution modeling system: multi‑touch attribution, CAC by channel, LTV cohort analysis

• Integrate Google Ads API for programmatic campaign management
• Build automated bidding systems: budget allocation, CPC optimization, keyword performance monitoring
• Implement ad variant testing framework: systematic rotation of ad copy, landing pages, targeting parameters
• Develop conversion tracking and ROI analysis pipelines

• Build Hub Spot API integrations: bidirectional sync with GTM tools, automated lead scoring, workflow triggers
• Design data quality systems: deduplication logic, enrichment automation, field validation
• Implement sales analytics:…