August - Full-Stack GTM Engineer
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) • TECHNICAL CHALLENGES • API integration at scale: Handle rate limits, retries, error handling, webhook reliability across 5+ third-party platforms • Anti-detection systems: Build session management, behavior randomization, proxy rotation for LinkedIn automation • Experiment infrastructure: Design statistically sound A/B testing framework with proper randomization and significance testing • Data pipeline engineering: Build reliable ETL from GTM tools to analytics warehouse, handle schema changes and data quality • Performance optimization: Systematically improve metrics (open rates, response rates, conversion rates) through automated experimentation • Real-time analytics: Build dashboards with Month 1-2: Infrastructure & instrumentation • Build full analytics pipeline from GTM tools to warehouse • Implement experiment framework for outbound and LinkedIn • Create dashboards for all key metrics (outbound performance, SEO rankings, referral funnel) • Month 3-4: Optimization velocity • Run 5-10 experiments per week across outbound, LinkedIn, SEO • Identify top-performing variants and scale them • Reduce manual work by 50% through automation • Month 5-6: Scale & predictive systems • Double outbound capacity through automation improvements • Launch referral platform with full tracking infrastructure • Build predictive models for lead scoring and channel allocation • Automate SEO optimizations based on ranking data
Responsibilities
• Outbound Automation Systems • 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 • LinkedIn Automation Infrastructure • 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 • SEO Infrastructure & Optimization • 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 • Referral Platform Engineering • 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 • Analytics & Experimentation Infrastructure • 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 • Google Ads Optimization • 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 • CRM & Sales Operations Automation • 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
Benefits
• Most engineers build product features. You'll build the systems that acquire customers. • Same technical work—API integrations, data pipelines, experiment frameworks, performance optimization—but applied to acquisition instead of product. The code you write directly impacts revenue. • If you're an engineer who wants to: • See immediate business impact from your code • Work on diverse technical challenges (APIs, data pipelines, ML, automation) • Own entire systems end-to-end • Run experiments and optimize performance systematically • ...this role is for you. • Founding Impact: Shape not just your role but the company. • Uncapped Upside: Competitive base + commission, early equity ownership. • Top-tier Team: Work alongside people who move fast, think clearly, and care deeply. • Category-Defining Work: Help build the first true AI agents for the legal profession. • Fast Growth: Scale your career as we scale the company. • Exceptional Early Traction: >4x revenue growth in the past four months. • Global Reach: Our clients span 4 continents and use August in multiple languages and jurisdictions • Frontier of Applied AI: August has access to proprietary data inaccessible to foundation model providers. We build agents to automate all challenging knowledge work. • Strategic investors: Backed by NEA and exceptional seed investors Pear VC and Afore Capital, August has the capital to execute
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