Today, legal work is done the way it has been done for a century — manually, by humans, in six-minute increments. Every contract drafted from scratch. Every memo researched line by line. Every matter running through layers of review that someone is paying for at hundreds of dollars an hour.
That is about to change. We believe that in five years, more than 80% of legal work will pass through a model before it ever reaches a human. The implication is not faster lawyers — it is a fundamentally different way that legal services get bought and procured.
Our mission is to make high-quality legal work accessible and affordable for everyone. We are going after the services spend, not the software spend — helping law firms restructure their delivery model around AI, and helping in-house teams do the same. One engine of agents and workflows underneath every matter we touch.
We are a lean, in-person based in New York City, backed by leading investors and growing fast. Every role at August is a chance to remake an industry while the window is open.
Today, legal work is done the way it has been done for a century — manually, by humans, in six-minute increments. Every contract drafted from scratch. Every memo researched line by line. Every matter running through layers of review that someone is paying for at hundreds of dollars an hour.
That is about to change. We believe that in five years, more than 80% of legal work will pass through a model before it ever reaches a human. The implication is not faster lawyers — it is a fundamentally different way that legal services get bought and procured.
Our mission is to make high-quality legal work accessible and affordable for everyone. We are going after the services spend, not the software spend — helping law firms restructure their delivery model around AI, and helping in-house teams do the same. One engine of agents and workflows underneath every matter we touch.
We are a lean, in-person based in New York City, backed by leading investors and growing fast. Every role at August is a chance to remake an industry while the window is open.
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 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
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)
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 <1min latency for sales and marketing ops visibility
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
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.
This role is for you 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
Medical insurance coverage
Flexible PTO
Parental Leave
Centralized office equipment ordering for all employees
Equinox or Chelsea Piers gym membership
In-office perks: lunch, dinner, snacks, drinks, and more
Budget for intra-office travel
Team-building events
Relocation support to NYC (as needed)
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.
In-person in NYC: Collaborative, talent dense and high energy environment
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.
Compensation Range: $140K - $220K
August HomeNew York, NY$140K - $220K (Employer provided)You'll write code, design architectures, instrument analytics, and run optimization experiments the same technical work as any backend or infra engineer, just……30d+
Amazon Web ServicesMountain View, CA$165K - $224K (Employer provided)2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience.…19d
AmazonSeattle, WA$144K - $194K (Employer provided)Participate in design reviews — both authoring designs for your own work and providing meaningful feedback on others'. A day in the life.…24d