Director of Data

Posted 2 Days Ago
Be an Early Applicant
New York, NY, USA
In-Office
200K-265K Annually
Senior level
Artificial Intelligence • Legal Tech • Productivity • Software • Generative AI
Patlytics is an AI-powered patent platform helping IP teams cut cycle times, boost margins, & deliver winning outcomes.
The Role
Lead design and ownership of the end-to-end modern data stack across GTM, Marketing, Finance, and Product. Build a single source of truth, define canonical metrics, deliver executive dashboards and analytics, automate reporting, vendor selection/implementation, and partner cross-functionally to support forecasting, planning, and ad-hoc analyses for scale.
Summary Generated by Built In

About Patlytics:

 

Patlytics is the fastest-growing AI-native patent intelligence platform, transforming how IP is protected and monetized at scale. Our advanced LLMs and generative AI engine—custom-built for intellectual property—power every phase of the patent workflow from invention disclosure through litigation, delivering citation-backed insights with unprecedented accuracy and speed.

 

Fresh off our $40M Series B — led by SignalFire, with participation from N47, Myriad Venture Partners, Liquid 2 Ventures, BAM Corner Point, Alumni Ventures, Antiportfolio Ventures and Relativity- allows us to triple down on the product, accelerate growth globally, hire future mission-aligned colleagues, and to continue redefining what is possible for our customers. — we're scaling fast across product, engineering, and go-to-market. If you want to build at the inflection point, this is it.

 

With teams across the globe we're building a global company fueled by exceptional talent and bold ideas. Our rapid expansion is driven by people who bring entrepreneurial energy, intellectual curiosity, and a shared commitment to setting the global standard for AI-powered IP intelligence. We're creating a culture where diverse perspectives shape breakthrough innovation and every voice contributes to transforming how the world protects ideas.

 

We hire for trajectory, not just credentials. If you're 70% of this list and hungry to close the gap, apply.

The Role:

Reporting to the VP of Finance & Operations, the Director of Data will own the end-to-end data stack across GTM (Sales, Customer Success, Strategy), Marketing, Finance, and Product. You will partner closely with the executive team to build centralized sources of truth for the company's most important metrics and stand up the data infrastructure that helps Patlytics scale past $50-100M+ in ARR. You are not afraid to roll up your sleeves as an individual contributor while designing and building the data function from the ground up. A trusted partner within the business and to the executive team, you will turn fragmented data across systems into the single, reliable foundation on which the company plans, reports, and operates. This is an exciting and rare opportunity to embark on a journey with a fast-growing company and deliver on highly impactful work - even better if you've seen this growth play out before and want to join at an earlier stage.

What You'll Accomplish:

  • Data Infrastructure & Engineering: Design, build, and own the modern data stack end-to-end - ingestion, warehousing, transformation, orchestration, and analysis/BI. You'll architect scalable pipelines that connect source systems across GTM, Marketing, Finance, and Product into a governed, centralized warehouse built to support the company well past $50-100M+ ARR.

  • Single Source of Truth: Define, document, and maintain the canonical metrics that run the business - ARR, pipeline, retention, usage, unit economics - so that Sales, Customer Success, Finance, Marketing, and Product are all operating off the same numbers. You'll build the metrics dictionary, own data quality and reconciliation, and eliminate the version-control chaos of competing spreadsheets and siloed datasets.

  • Analytics & Visualization: Deliver the reporting and dashboard layer that gives the executive team, board, and department leaders real-time visibility into performance. You'll pair strong data analysis with clear visualization to surface the "aha" insights that influence big business decisions.

  • Tools & Automation: You have an eye for technology and efficiency and will help Patlytics build out its data infrastructure for scale - increasing automation, reducing manual reporting, and lowering the risk of errors. You'll evaluate and select vendors, oversee implementations and integrations, and enhance checks and controls across the stack.

  • Business Partnering / Cross-Functional Collaboration: Serve as the data partner to the executive team and department leaders - translating business questions into data models, instrumenting new initiatives, and supporting planning, forecasting, and board reporting with trusted data.

  • Ad-Hoc Projects: Assist in the planning and execution of key operational projects such as performance dashboards, custom reporting by dimension for different departments, GTM funnel instrumentation, pricing and usage analyses, and diligence-ready data packages.

Who You Are:

Experience:

  • 7+ years of experience in data engineering, data infrastructure, analytics engineering, or equivalent. Additionally, you have high-growth SaaS / Technology company experience in the range of $30-150M+ in ARR - you've seen what breaks at scale and know how to build ahead of it.

  • Strong competency in data infrastructure and data engineering, with complementary skills in data analysis and governance - you can build the pipes and tell the story of what flows through them.

  • Strong fluency and familiarity with Snowflake, Databricks, Clickhouse, Hubspot, Salesforce, Quickbooks, Fivetran, dbt, Netsuite, and mySQL - you will identify where automation can be leveraged, help select vendors, and oversee implementation as applicable.

  • Experience partnering across GTM, Marketing, Finance, and Product, with a working understanding of AI and SaaS business models and the metrics that matter to each function.

You have:

  • A design / infrastructure mindset - you look at how data models, pipelines, and reports are built, think about how they can be architected better and what data feeds them, and how to connect tools and information harmoniously.

  • A 'do-er' mentality with high motor and energy - you are a highly resourceful self-starter who takes charge, rolls your sleeves up, and gets the job done as an individual contributor while building for scale.

  • An obsession with data accuracy and meticulous attention to detail - you take pride in every number being right, reconciled, and trusted across the company.

  • A strong ability to develop, document, and build frameworks to enable scalability of a fast-growing company.

  • A passion for data-driven discussions and giving the business a narrative - you find ways to bring deep insights that influence big business decisions, and executives trust your recommendations.

  • An excitement to work in a fast-moving and growing company - you are highly adaptable and understand startup environments.

  • An ability to communicate crisply across altitudes - equally comfortable presenting metrics to the board and debating schema design with engineers

This role is NOT for you if:

  • You're looking for a 9-5.

  • You're unable to build processes and infrastructure in chaotic, hypergrowth environments where “the plane is being built in flight” - ambiguity and speed are features of this role, not bugs.

Skills Required

  • 7+ years experience in data engineering, data infrastructure, or analytics engineering
  • Experience at high-growth SaaS / technology companies (~$30-150M ARR)
  • Strong competency in data infrastructure, data engineering, analytics engineering, and data governance
  • Fluency with Snowflake, Databricks, Clickhouse, Hubspot, Salesforce, Quickbooks, Fivetran, dbt, Netsuite, and MySQL
  • Proven ability to design, build, and own modern data stack end-to-end (ingestion, warehousing, transformation, orchestration, BI)
  • Experience building canonical metrics, metrics dictionaries, and ensuring data quality/reconciliation
  • Delivering executive- and board-level reporting and dashboards with strong data visualization and analysis
  • Experience partnering across Sales, Customer Success, Marketing, Finance, and Product
  • Vendor evaluation, selection, implementation oversight, and automation of data workflows
  • Strong communication skills across technical and executive audiences
  • High ownership, resourcefulness, and ability to operate as an individual contributor in hypergrowth
  • Meticulous attention to data accuracy and detail
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: New York, New York
31 Employees
Year Founded: 2024

What We Do

Patlytics unlocks massive productivity gains across the patent lifecycle — from patent prosecution, litigation, and pruning to the invention disclosure processes. Patlytics’ advanced large language models (LLMs) and generative AI-powered engine custom-built for IP is transforming the discovery, analytics, and reporting of intellectual property. Our platform delivers the global market standard of accuracy, speed, and security — enabling patent professionals to streamline workflows, enhance decision-making and IP protection, and reduce costs. Patlytics is the trusted partner to Fortune 500 companies, leading AM 100 law firms, and enterprise innovators across invention sectors, including Foley & Lardner LLP, Google, Koch Disruptive Technologies, Abnormal Security, Richardson Oliver Law Group, and more.

Why Work With Us

At Patlytics, we're revolutionizing patent intelligence with AI. Join a team where your ideas shape the product, your growth is priority one, and your work protects innovation globally. We move fast, learn faster, and celebrate wins together.

Gallery

Gallery

Similar Jobs

PwC Logo PwC

Architect

Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Hybrid
4 Locations
370000 Employees
150K-438K Annually

Mastercard Logo Mastercard

Director, Customer Data & Asset Strategy

Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Hybrid
Harrison, NY, USA
38800 Employees
131K-250K Annually
Hybrid
2 Locations
289097 Employees

Morningstar Logo Morningstar

Director Of Sales

Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Hybrid
2 Locations
11500 Employees

Similar Companies Hiring

Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
LTX Thumbnail
Robotics • Conversational AI • Generative AI
Jerusalem, Israel
200 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account