GTM Engineer, Sales Automation & Data Pipelines
Overview
You will own the technical infrastructure that powers customer acquisition at August, a legal services AI startup. Build data pipelines, integrate third-party APIs, and run optimization experiments across outbound, SEO, and referral systems. Work alongside a lean, in-person team in New York City, backed by leading investors. This role applies systems engineering to go-to-market, directly impacting revenue from day one.
What You'll Do10
- 1Design and implement multi-channel prospecting pipelines using Clay, Amplemarket, and Apollo APIs.
- 2Build experiment frameworks to A/B test email sequences, subject lines, send times, and message variants.
- 3Develop lead enrichment and scoring systems with automated data quality checks using Python and SQL.
- 4Implement webhook-based response detection and automated routing logic.
- 5Optimize deliverability: SPF/DKIM/DMARC configuration, domain warmup automation, bounce handling.
- 6Build LinkedIn prospecting automation: connection requests, message sequences, engagement tracking with LinkedIn API.
- 7Design rate limiting and anti-detection systems to maintain account health at scale.
- 8Automate technical SEO: schema markup generation, sitemap updates, crawl error monitoring.
- 9Integrate Google Search Console API for ranking tracking and organic traffic attribution.
- 10Instrument event tracking across all acquisition channels using PostHog and build data warehouse ETL from Clay, HubSpot, Amplemarket, Google Ads, and LinkedIn.
Requirements8
- 12-4+ years of software engineering experience at SDE2 or SDE3 level.
- 2Strong programming skills in Python, JavaScript/Node.js, and SQL.
- 3API integration expertise: REST APIs, webhooks, OAuth, rate limiting, error handling.
- 4Experience at a top-tier technology company (e.g., Amazon, Flipkart, Zomato, PhonePe, Razorpay, Setu, Uber, Google, Meta, D.E. Shaw, or similar).
- 5Data engineering fundamentals: ETL pipelines, data transformations, analytics instrumentation.
- 6Systems thinking: design scalable, maintainable infrastructure.
- 7Experimentation mindset: A/B testing, statistical analysis, systematic optimization.
- 8Degree from a top engineering institution (IIT, BITS Pilani, NIT, IISc, or equivalent).
Salary Insight
$140 - $220k per year
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