Engineering Manager, Machine Learning Operations at PitchBook

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Financial ServicesIndustries

Requirements

Good attitude and willingness to roll up sleeves to get things done
Curiosity and drive to find better ways of doing things
Ability to thrive in ambiguity, take risks, and fail fast
Passion for constant learning and discovering new tools, technologies, libraries, and frameworks (commercial and open source)
Ability to describe technical content intuitively for varied audiences, from technical deep dives with engineers to non-technical dialogue with executives

Responsibilities

Lead the MLOps team direction and execution (operations, processes, practices, and standards), working closely with engineering leadership and product management to craft roadmaps, define KPIs, and achieve success criteria
Ensure effective communication and coordination across geographically dispersed teams and oversee the enablement of scalable solutions that meet high standards of reliability and efficiency
Champion the adoption and integration of ML best practices at PitchBook, fostering a culture of innovation and experimentation to drive the development of high-quality AI products
Serve as a force multiplier by removing roadblocks, implementing process improvements, providing frequent and actionable feedback to team members, and building practices for ideation and innovation
Bridge the gap between business/product needs and execution, including building and delivering on group-level objectives and key results, identifying resource needs, and building execution plans for initiatives
Ensure MLOps roadmap items are delivered on time and have exceptional quality
Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source) that can be leveraged to improve PitchBook’s AI capabilities
Describe technical content in intuitive ways for a variety of audiences, adapting communication from highly technical deep dives with engineers to non-technical dialogue with executive stakeholders
Establish and drive a culture founded on collaboration, integrity, growth, and business value

Skills

Key technologies and capabilities for this role

MLOpsMachine LearningEngineering ManagementTeam LeadershipProduct Engineering

Questions & Answers

Common questions about this position

What is the salary for the Engineering Manager, Machine Learning Operations role?

This information is not specified in the job description.

Is this position remote or does it require working from an office?

This information is not specified in the job description.

What are the key responsibilities or skills needed for this Engineering Manager role?

The role involves leading the MLOps team direction and execution, ensuring effective communication across geographically dispersed teams, and championing ML best practices. Experience supporting ML projects in domains like Generative AI, LLMs, NLP, Classification, and Regression is key.

What is the company culture like at PitchBook?

PitchBook has a deeply collaborative culture that thrives on excitement, energy, and fun, with extensive learning programs, mentorship, and a focus on curiosity, innovation, customer empathy, and assuming positive intent in a respectful environment.

What makes a strong candidate for this Engineering Manager position?

A strong candidate has a good attitude, willingness to roll up sleeves to get things done, leadership skills for managing MLOps teams, and experience enabling ML practitioners across diverse domains.

PitchBook

Provider of private market data insights

About PitchBook

PitchBook provides detailed information and insights on private market data, focusing on venture capital, private equity, and mergers and acquisitions (M&A). Its main product is the PitchBook Platform, which consists of various software applications that allow users to access a vast database of information about companies, deals, investors, and funds. This platform is subscription-based, meaning clients pay for different levels of access based on their needs. PitchBook stands out from competitors by offering comprehensive data that is essential for investment professionals, business executives, and advisors, particularly in Europe and North America. The company's goal is to empower its clients to make informed investment decisions and stay updated on market trends.

Seattle, WashingtonHeadquarters

2007Year Founded

$13.4MTotal Funding

ACQUISITIONCompany Stage

Quantitative Finance, Financial ServicesIndustries

1,001-5,000Employees

Benefits

Flexible work program

Generous PTO

Paid sick days

Company-wide days off

Learning & development opportunities

401k & company matching

Medical, dental and vision insurance

HSA+FSA Accounts

Paid parental leave

Transportation stipend

Team building & company-wide events

Risks

Leadership transition risk as founder John Gabbert steps down from CEO role.

Increased competition from platforms like Intapp's DealCloud challenges PitchBook's market position.

Potential over-reliance on the North American market exposes PitchBook to regional downturns.

Differentiation

PitchBook offers comprehensive data on venture capital, private equity, and M&A.

The PitchBook Platform provides award-winning software applications for unparalleled data insights.

PitchBook serves a diverse clientele, including investment professionals and business executives.

Upsides

Increased demand for ESG data presents a new expansion opportunity for PitchBook.

The rise of SPACs creates a market for SPAC-related insights on PitchBook's platform.

Growing interest in secondary market transactions could expand PitchBook's database offerings.

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