---
title: 'Founding Applied Data Scientist at Outtake'
canonical: 'https://feeny.ai/job/founding-applied-data-scientist-outtake-new-york-396zeg2ntdnk'
type: 'job'
last_seen: '2026-09-08'
---

# Founding Applied Data Scientist at Outtake

- **Company:** Outtake
- **Location:** New York, NY
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-28
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/outtake/c94d3009-2503-4e5a-a0fc-a334260bfda3

## Job description

## ABOUT OUTTAKE

Outtake exists to empower and facilitate trust for a digital-first world. Today, impersonation, fraud, AI-driven scams, and identity abuse spread faster than any security team can respond to. So we built something different: an agentic AI platform that proactively detects, monitors, and takes down impersonators, automating protection in hours, not weeks.

Built by ex-Palantir, ex-CTO/founders, and ex-Notion engineers, Outtake is designed for clarity, autonomy, and velocity. Our goal is ambitious: become the trust layer of the modern internet. And we intend to do it with a lean, dense, exceptionally talented team.

Outtake is backed by top-tier investors and operators who believe in our mission and our model. With strong financial footing and a long runway, we prioritize creating an environment where people can do the best work of their careers.

## ABOUT THE ROLE

We’re looking for a Founding Applied Data Scientist to define how Outtake understands, measures, and improves the performance of our product, business, and AI systems. At a high level, this person will build the data foundation that turns messy product usage, customer outcomes, model behavior, and business operations into clear decisions and durable systems.

Our product operates in a noisy, adversarial, fast-moving threat landscape. We need to know what is working, where our agents are succeeding or failing, how customers are experiencing value, and how the business should price, package, and prioritize our work. Data is how we make those questions legible.

This role is for someone who is equally comfortable building pipelines, defining metrics, writing SQL, partnering with product and finance, and reasoning about AI evals. You should be excited to operate at the intersection of analytics engineering, applied data science, product strategy, and AI systems evaluation.

We are early, so this is not a narrow reporting or dashboarding role. You will shape the semantic layer, define canonical metrics, build the analytical infrastructure, influence product and pricing decisions, and set the long-term bar for how Outtake uses data as the company scales.

## What you’ll do

- Own our analytical data pipeline and infrastructure across product, business, and AI performance data
- Build and own the long-term roadmap for data infrastructure, analytics, and applied data science at Outtake
- Define and maintain the semantic layer in our product analytics stack, including Hex and the underlying warehouse models
- Build canonical performance metrics for our product and business, including activation, usage, retention, customer value, operational efficiency, and agent effectiveness
- Partner with Product and Finance to refine pricing models, usage-based packaging, margin analysis, and customer-level profitability
- Work with Platform Engineering on internal AI performance metrics, evals, benchmarking, observability, and reliability reporting
- Design dashboards, analyses, and decision-support systems that help the team make fast, high-confidence product and business decisions
- Build data quality checks, documentation, and metric definitions that make our data trustworthy and easy for others to use
- Translate ambiguous questions from product, GTM, finance, and engineering into rigorous analyses and practical recommendations

## REQUIREMENTS

- 5+ years of combined experience as an Engineer, Analytics Engineer, Data Scientist, or closely related role
- Strong proficiency in SQL, ideally with production experience in Postgres and modern analytical modeling patterns
- Experience building reliable data pipelines, data models, semantic layers, or internal analytics infrastructure
- Experience defining product and business metrics from first principles, not just reporting on pre-existing dashboards
- Experience working with modern AI eval frameworks, model performance measurement, LLM observability, or similar systems
- Strong product judgment and the ability to turn ambiguous business or product questions into clear analytical approaches
- Comfort working cross-functionally with Product, Engineering, Finance, and GTM stakeholders
- Ability to communicate complex analyses clearly, including the tradeoffs, caveats, and recommendations that matter
- High ownership, strong bias toward action, and comfort operating in a fast-moving, early-stage environment
- Desire to build foundational systems and eventually help hire, mentor, and scale a high-performing data function

## NICE TO HAVE

- Experience working with Hex or similar collaborative analytics tools
- Experience as an early data hire or founding team member in a high-growth startup
- Experience working with Langfuse, Braintrust, Arize, Phoenix, OpenTelemetry, or similar AI observability/eval tooling
- Experience working with ClickHouse, BigQuery, Snowflake, Databricks, DuckDB, dbt, or similar analytical data systems
- Experience with usage-based pricing, unit economics, margin modeling, or customer-level profitability analysis
- Experience building metrics or evals for AI agents, LLM products, fraud systems, abuse detection, cybersecurity, or trust & safety products
- Experience building internal tools, notebooks, or lightweight apps that help non-data teammates answer their own questions

## LIFE AT OUTTAKE

- Office: For those in NY, we are an in-person team (5 days a week, with flexibility as needed) working out of a stunning waterfront office in Brooklyn. Collaboration, speed, and clarity matter.
- Health: 100% company-paid medical, dental, and vision for employees.
- Time Away: Flexible PTO. We trust adults to manage energy, not clock time.
- Culture & Team: Annual company retreats and regular in-person events.

Outtake is an equal opportunity employer. We are committed to building a diverse, inclusive team.

## About Outtake

## Company Overview
- **One-liner**: Outtake provides an autonomous AI agent platform that detects, investigates, and dismantles digital threats like impersonation, fraud, and AI-driven scams for enterprises.
- **Entity Type**: Private (Series B)
- **Headquarters**: Brooklyn, New York, United States
- **Founded**: 2023
- **Founders**: Alex Dhillon

## Core Business
- Primary industry/industries: Cybersecurity (Digital Risk Protection, Brand Protection, Threat Intelligence)
- Target customers: B2B, Enterprise — including major AI labs (e.g., OpenAI), high-growth tech companies (e.g., AppLovin, CashApp), investment firms (e.g., Pershing Square), federal agencies, and luxury retail brands
- Mission or purpose statement: “To empower and facilitate trust for a digital-first world” — building a “trust layer for the modern internet”

## Products & Services
- **Digital Trust Platform**: SaaS platform using autonomous AI agents that see, hear, understand, and dismantle digital risk across every surface (web, social, dark web, app stores).
- **Brand Protection**: Detects and removes fake domains, cloned apps, malicious ads, unauthorized resale, trial abuse, and token fraud.
- **Executive Protection**: Identifies threats to executives including deepfakes, doxxing, extortion, venue targeting, and route exposure.
- **Location Protection**: Monitors for coordinated protests, location targeting, and physical threats.
- **Global Signal Network**: A proprietary Reservoir™ of signals that compound over time, making the platform smarter with every threat dismantled.

## Market Standing
- **Valuation**: Not disclosed
- **Total Funding**: $56.5M (Series B led by ICONIQ, as of January 2026)
- **Key Metrics**:
  - ARR increased approximately **6x year-over-year**
  - Systems scanned **20 million potential cyberattacks** in the prior year
  - Enterprise customers grew **more than 10x year-over-year**
  - Average takedown time of **14.4 hours** from detection to takedown
  - **99.4%** takedown confirmation rate
  - **100%** network eradication rate
  - Monitors **100+ platforms**, marketplaces, and dark web sources
  - Social takedowns completed in under 24 hours
- **Notable Investors/Partners**: ICONIQ (lead, Series B), CRV (seed & Series A), Section 32 (S32), angel investors including Microsoft CEO Satya Nadella, Palantir CTO Shyam Sankar, Palo Alto Networks CEO Nikesh Arora, Anduril co-founder Trae Stephens, Bill Ackman, Guillermo Rauch, and Bob McGrew.

## Competitive Advantages
- **Agentic AI vs. Legacy Tools**: Replaces slow, queue-based analyst workflows with autonomous agents that operate in parallel (millions of agents, zero queues, zero tickets).
- **Compound Learning Platform**: The Global Signal Network gets sharper with every threat dismantled — meaning the platform becomes more effective for all customers over time.
- **Speed**: 14 hours from detection to takedown (legacy tools can take 14 days or more).
- **Named a Challenger** by analysts, alongside companies like Check Point, Doppel, and Recorded Future.
- **Top-Tier Customer Base**: Works with the world’s most targeted organizations (OpenAI, AppLovin, Pershing Square), which validates the product against the most sophisticated threats.

## Strategic Focus
- **Growth**: Scaling go-to-market teams, particularly in engineering and product, to meet explosive demand (ARR up 6x YoY).
- **Product Expansion**: Deepening the autonomous agent platform to cover more attack surfaces and industries, with a goal of becoming the “trust layer” for the entire internet.
- **Use of Funds**: The $40M Series B is earmarked for growing go-to-market, engineering, and product teams, as well as expanding the agent platform’s capabilities.

## Why Work Here
- **High-Growth Trajectory**: 40 employees with 335.3% yearly headcount growth; 13 active job openings across engineering, sales, marketing, and legal.
- **Cutting-Edge Mission**: Work on the forefront of AI-driven cybersecurity, building autonomous agents that fight the most advanced digital threats.
- **Culture of Ownership and Speed**: The company prides itself on “zero queues, zero tickets” and constant next-step pursuit by agents — a philosophy that likely extends to the engineering culture.
- **Team Quality**: Notable talent sources include Palantir, Meta, Oso, and Google. Strong engineering and product leadership.
- **Headquarters & Flexibility**: Based in Brooklyn, NY, with a presence in the UK and Singapore. Remote/hybrid policy not explicitly stated but likely flexible given global team.
- **Impactful Work**: Directly protecting top AI labs, financial institutions, and global brands from nation-state and organized cybercrime operations.

## Sources
1. [outtake.ai](https://www.outtake.ai/)
2. [CB Insights](https://www.cbinsights.com/company/outtake)
3. [CNBC](https://www.cnbc.com/2026/01/28/outtake-cyber-openai-ai-raise.html)
4. [LinkedIn](https://www.linkedin.com/company/outtaketeam)
5. [Jobs.ashbyhq.com](https://jobs.ashbyhq.com/outtake)

## Other roles at Outtake

- [Software Engineer, Infrastructure](https://feeny.ai/job/software-engineer-infrastructure-outtake-new-york-s4mmt07naxcb) — New York, NY
- [Channel Partnership Lead](https://feeny.ai/job/channel-partnership-lead-outtake-new-york-ay8mjh3ft197) — New York, NY
- [Technical Account Manager - Team Lead](https://feeny.ai/job/technical-account-manager-team-lead-outtake-new-york-6w292rcwfnvc) — New York, NY
- [Technical Account Manager](https://feeny.ai/job/technical-account-manager-outtake-new-york-q9s4bfafqr2t) — New York, NY
- [Head Of Sales](https://feeny.ai/job/head-of-sales-outtake-new-york-d3mt301jq164) — New York, NY
- [Software Engineer (Frontend)](https://feeny.ai/job/software-engineer-frontend-outtake-new-york-qb7egrwxf559) — New York, NY
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- [General Interest](https://feeny.ai/job/general-interest-outtake-new-york-kqadeyafdmq2) — New York, NY