Full-Stack GTM Engineer

August is a company focused on building AI solutions for law firms, particularly midsized firms, to improve efficiency and client service. The role involves optimizing technical infrastructure for customer acquisition, including designing data pipelines, integrating APIs, and running optimization experiments.

Responsibilities:

• 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 LinkedIn 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 PostHog
• Build data warehouse ETL: aggregate data from Clay, HubSpot, Amplemarket, Google Ads, LinkedIn
• 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 HubSpot 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: pipeline visibility, lead source attribution, conversion rates, deal velocity tracking
• Build internal tools for sales ops: custom dashboards, reporting automation, forecast modeling

Requirements:

• 2-4+ years of software engineering experience at SDE2 or SDE3 level
• Strong programming skills: Python, JavaScript/Node.js, SQL
• API integration expertise: REST APIs, webhooks, OAuth, rate limiting, error handling
• Experience at a top-tier technology company (e.g., Amazon, Flipkart, Zomato, PhonePe, Razorpay, Setu, Uber, Google, Meta, D.E. Shaw, or similar)
• Data engineering fundamentals: ETL pipelines, data transformations, analytics instrumentation
• Systems thinking: Design scalable, maintainable infrastructure
• Experimentation mindset: A/B testing, statistical analysis, systematic optimization
• Degree from a top engineering institution (IIT, BITS Pilani, NIT, IISc, or equivalent)
• Experience with GTM automation platforms (Clay, Amplemarket, Apollo, HubSpot APIs)
• Knowledge of LinkedIn APIs, scraping techniques, or anti-detection systems
• Familiarity with SEO tools and APIs (Ahrefs, SEMrush, Google Search Console)
• Hands-on with analytics platforms (PostHog, Mixpanel, Amplitude, Statsig)
• Experience with Google Ads API or programmatic advertising systems
• Background in data engineering, analytics infrastructure, or experimentation platforms
• Prior work on referral systems, viral loops, or growth automation
• Startup experience (especially pre-Series B)