Angler AI Inc. Director of Analytics Remote · Full time Company website

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Angler AI introduces the world’s first Predictive Conversion API, specifically engineered to address the challenges of today’s privacy-first digital landscape. Our solution is designed to optimize the performance of walled garden platforms like Meta, Google Ads, and TikTok, with Angler’s Predictive CAPI and Predictive Audience tools enhancing ad auction training. This technology enables brands to achieve, on average, a 32% improvement in paid marketing performance, even within a privacy-focused environment. Angler AI combines zero-party and first-party data from brands with our proprietary dataset, featuring over 4000 purchase, demographic, and interest attributes. Using a flexible deep neural network, we construct comprehensive predicted profiles for each visitor and customer. This enriched data, sent to walled gardens through a server-side integration, enhances ad auction performance and empowers marketers to scale beyond just targeting in-market buyers. Understanding that every business is unique with diverse marketing goals, Angler’s Predictive CAPI is fully configurable. Our solution allows auctions to be trained differently depending on the specific outcomes brands want to achieve, ensuring personalized and effective results tailored to each campaign objective.

Responsibilities

Team Leadership

● Hire, develop, and manage a team of analysts; set clear goals and foster a culture of rigor, curiosity, and ownership.

● Serve as a technical mentor—conduct code and methodology reviews, pair on complex analyses, and raise the bar on SQL and statistical craft across the team.

● Partner with product, engineering, and go-to-market leadership to define the analytics roadmap and prioritize high-impact work.

Marketing Analytics & Measurement

● Design, run, and interpret A/B and incrementality experiments across paid channels (Meta, Google, TikTok); own the statistical methodology from hypothesis to read-out. ● Build and maintain click-based and data-driven attribution models that give customers a trustworthy view of channel contribution.

● Own in-platform reporting across Meta Ads Manager, Google Ads, TikTok Ads Manager, and other platforms; reconcile platform data against first-party signals and surface discrepancies.

● Define KPIs and dashboards for customer acquisition, retention, and LTV; translate complex model output into narratives that resonate with both technical and business audiences.

Data & Product Analytics

● Write and optimize production-quality SQL against large-scale data warehouses for analysis, reporting, and feature evaluation.

● Evaluate the performance of Angler’s predictive models in business terms—lift, incremental ROAS, conversion uplift—and surface findings that guide model iteration. ● Collaborate with engineering to embed self-service measurement dashboards into the product as well as specify the necessary pipeline stages, data quality checks, and schema design to ensure analytics-ready data.

● Understand Angler’s product end-to-end from the customer perspective, and proactively identify measurement gaps or opportunities.

Skills & Qualifications

● 5+ years of experience in analytics, with at least 2 years managing or leading a team of analysts.

● Deep, hands-on SQL expertise—you write complex queries (CTEs, window functions, query optimization) daily and review others’ SQL as a matter of course.

● Proven marketing analytics background: you’ve designed and analyzed A/B / incrementality experiments, built or evaluated attribution models, and worked directly inside Meta, Google, and/or TikTok ad platforms.

● Strong statistical intuition—comfortable with significance testing, confidence intervals, regression, and communicating uncertainty to non-technical stakeholders. ● Industry experience in at least one of: omni-channel retail, subscription (media, entertainment, or streaming), or mobile games—verticals with high-volume behavioral data and performance-marketing DNA.

● Experience with modern cloud data stacks (GCP/BigQuery, AWS/Redshift, Snowflake) and BI tools (Looker, Tableau, Amazon QuickSight, or similar).

● Excellent communication skills—able to write a clear analysis memo, present to a CMO, and explain a p-value to a marketer, all in the same day.

● Bachelor’s degree in a quantitative field (Statistics, Mathematics, Economics, Computer Science, or related). Advanced degree preferred.

● Must be currently authorized to work in the US on a full-time basis.

Nice To Have

● Experience building predictive models in Python (scikit-learn, XGBoost, LightGBM)—especially predictive lifetime value (pLTV) or propensity modeling in a marketing context.

● Familiarity with Marketing Mix Modeling (MMM) or causal inference methods (geo-experiments, difference-in-differences).

● Experience with user-event-level site or app data and identity resolution. ● Proficiency with Python data libraries (pandas, numpy, matplotlib / seaborn) for exploratory analysis.

● Experience with Conversion APIs, browser pixels, or server-side event data (Meta CAPI, Google Enhanced Conversions, TikTok Events API).

● Experience with ecommerce platforms such as Shopify, Magento, or Salesforce Commerce Cloud.

● Familiarity with ML frameworks (PyTorch, Keras) and parallel processing at scale (Spark).

Benefits

● Medical, dental, and vision insurance

● Unlimited PTO & sick days

● 401k with 4% employer match

● 0.1% - 0.5% equity

Compensation

Salary range: $160,000 - $220,000, commensurate with experience and scope