Product Manager, Data Extraction & Machine Learning

Ladders
New York, NY
$180K-$200K a year
Full-time

Overview

Chronograph was founded to bring next-generation technology to private capital markets. Through our suite of cloud-based analytics and data management solutions, we help many of the world's largest and most sophisticated venture capital, private equity, and credit funds understand their investment performance in unprecedented detail, with over $20 trillion of AUM monitored via our solution suite.

At Chronograph, we get to go "behind the scenes" and work directly with investors who are driving some of the most impactful changes across high growth start-ups, global infrastructure and renewable energy, growth equity, and all other private capital strategies.

The firm is backed by The Carlyle Group, Nasdaq Inc., and Summit Partners, and has seen continuous rapid growth since its founding in 2016.

The Opportunity

Bring your expertise to a highly collaborative, creative, and innovative team with a market-leading technology product suite.

We are seeking an experienced Product Manager to take ownership of our data extraction platform, which leverages Machine Learning & AI, packaged in user-intuitive workflows, to consume and aggregate unstructured financial data from millions of documents on an ongoing basis.

This position reports to the Head of Product and will sit across a diverse array of stakeholders, including : ML & front-end engineering teams, UI / UX designers, and Data Operations.

It will provide an opportunity to apply your expertise across a range of diverse and intellectually stimulating opportunities, with full ownership of the planning, execution and delivery of the Data Extraction & Machine Learning roadmaps.

To support this objective, you will use data to analyze collection processes, embrace new technologies to stay at the forefront of document ingestion, and work with a talented team of engineers and designers to deliver a user-friendly experience.

We value people who take pride in their work and show an aptitude for learning quickly. Our ideal candidate will have prior experience managing data extraction technologies in an official Product function, familiarity with Machine Learning and AI applications, and a demonstrated track record of using analytics to drive operational efficiencies.

This goes beyond usage data : rather, a combination of analytical frameworks for process analysis combined with strong intuition will be important.

In general, you should have a strong sense of ownership and enjoy driving projects from inception through planning, refinement, and scaling in production.

Even if you do not meet all criteria, we would still encourage you to apply! Chronograph offers an entrepreneurial environment where you will be able to proactively identify opportunities to develop and strengthen both our Data Operations & Product Management functions.

As a Product Manager at Chronograph, you will :

  • Lead the prioritization, planning and execution of Data Extraction & Machine Learning projects, ensuring timely delivery and high-quality outcomes
  • Develop and maintain a detailed product roadmap, prioritizing initiatives based on business needs, technical feasibility and, resource availability
  • Collaborate with Machine Learning engineers to incorporate the latest models into our data extraction techniques
  • Design, shape, and deliver features that span document ingestion, data extraction, workflow design, and validation
  • Utilize data and analytics to continuously optimize our data extraction processes, and identify areas for technology-driven solutions
  • Plan and manage agile sprints, ensuring clear objectives, timely progress and coordinating cross-functional delivery
  • Foster a collaborative environment, encouraging innovation and continuous improvement across our Data Operations, Design and Engineering teams

You will be successful in this role if you have :

  • Five (5) or more years of professional product management experience, including at least two (2) years of direct experience with ML applications
  • Excellent organizational skills, with a proven ability to coordinate resources across teams and drive cross-functional projects through completion
  • Experience with process analysis, either through management or technical consulting, a fintech provider, or other direct experience with large-scale data extraction operations
  • Deep intuition for understanding user problems, and and an ability to identify, define and deliver technology solutions
  • Excellent written and verbal communication skills, with deep experience articulating roadmap strategy and drafting product specs, user stories and acceptance criteria
  • Positive attitude, sense of humor, and creativity

Nice-to-haves :

  • Familiarity with Scrum methodology and / or other common product development processes
  • In-depth knowledge of PDFs, Excel spreadsheets, and other document-based data sources
  • Experience working with technical projects or previous experience in a software engineering role
  • Exposure to or familiarity with corporate finance, accounting, and / or private equity

If you don't tick every box above, we'd still encourage you to apply. We're building a diverse team whose skills balance and complement one another.

Why join Chronograph?

We're a team that values open communication, creativity, embracing cutting-edge technology, a zero-defect mentality, and having fun along the way.

We want you to be happy in the long term.

We offer :

  • Flexible work arrangements (including remote / in person / hybrid)
  • Competitive salary
  • 401k
  • Unlimited and flexible vacation
  • Generous health benefits
  • Team week events in HQ (Brooklyn, NY) three times annually for all employees
  • Fully-paid parental leave
  • and more!

Salary Range (dependent on experience)

$180,000 - $200,000 USD

Chronograph is committed to promoting a diverse and inclusive organization and we welcome applicants from all backgrounds.

If you're a passionate team player who wants to have an outsized impact on a diverse and dynamic team, we'd love to hear from you!

10 days ago
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