Engineering Manager, PitchBook
Machine Learning Operations
$240-280k
+ Shared ownership employee stock program + Target annual bonus percentage: 15%
More information about location
4-5 days a week in office
Private equity & venture capital database
Be an early applicant
Private equity & venture capital database
1001+ employees
Be an early applicant
$240-280k
+ Shared ownership employee stock program + Target annual bonus percentage: 15%
More information about location
4-5 days a week in office
1001+ employees
Company mission
To provide thousands of global business professionals with comprehensive data on the private and public markets to help them discover and execute opportunities with confidence.
Role
Who you are
- Bachelor’s, Master’s, or PhD in Computer Science, Mathematics, Data Science, or a related field
- 5+ years of experience in an engineering leadership role, managing globally distributed teams
- 6+ years of experience in hands-on development of Machine Learning algorithms
- 6+ years of experience in hands-on deployment of Machine Learning services
- 6+ years of experience supporting the entire MLDLC, including post-deployment operations such as monitoring and maintenance
- 6+ years of experience with Amazon Web Services (AWS) and/or Google Cloud Platform (GCP)
- Experience with at least 70%: PyTorch, Tensorflow, LangChain, scikit-learn, Redis, Elasticsearch, Amazon SageMaker, Google Vertex AI, Weights & Biases, FastAPI, Prometheus, Grafana, Apache Kafka, Apache Airflow, MLflow, and KubeFlow
- Ability to break large, complex problems into well-defined steps, ensuring iterative development and continuous improvement
- Experience in cloud-native delivery with a deep practical understanding of containerization technologies such as Kubernetes and Docker, and the ability to manage these across different regions
- Proficiency in GitOps and creation/management of CI/CD pipelines
- Demonstrated experience building and using SQL/NoSQL databases
- Demonstrated experience with Python (Java is a plus) and other relevant programming languages and tools
- Excellent problem-solving skills with a focus on innovation, efficiency, and scalability in a global context
- Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions
- Ability to be a team player who can also work independently
- Experience working across multiple development teams is a plus
- Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily
What the job involves
- As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day.
- As an Engineering Manager, Machine Learning (ML) Operations in the Technology & Engineering division, you will be responsible for leading and managing PitchBook’s MLOps team
- The team is responsible for enabling PitchBook’s Machine Learning teams and practitioners by providing tools and golden paths that optimize all aspects of the Machine Learning Development Life Cycle (MLDLC)
- Your team’s work will support projects in a variety of domains, including Generative AI (GenAI), Large Language Models (LLMs), Natural Language Processing (NLP), Classification, and Regression
- Your role will be critical in driving AI (Artificial Intelligence) innovations across the organization
- 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. 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 creating belonging, psychological safety, candor, connection, cooperation, and fun
- Understand how to apply agile, lean, and principles of fast flow to team efficiency and productivity
- Support the vision and values of the company through role modeling and encouraging desired behaviors
- Participate in various company initiatives and projects as requested
Our take
Recognizing the need for actionable and extensive intelligence in the private equity sector, PitchBrook was founded in 2007 with the vision to create a resource for comprehensive data, research, and insights spanning the global capital markets.
To address the complexity of these markets, PitchBook has continually expanded its coverage, integrating thousands of datasets and millions of individual insights into its platform. The company's dedication to innovation is evident in the pioneering features and products introduced to surface critical information for its clients.
PitchBook's integration into Morningstar since 2016 has provided a solid foundation for sustained growth and development. The company's commitment to helping clients make informed decisions suggests a future of ongoing evolution and expansion, as it remains at the forefront of providing indispensable resources for navigating the complexities of the global capital markets.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
Funding (2 rounds)
Jan 2016
$10m
SERIES B
Sep 2009
$3.8m
SERIES A
Total funding: $13.8m
Company benefits
- Additional medical wellness incentives
- Paid sabbatical program after four years
- Paid parental leave
- Annual educational stipend
- Robut training programs on industry and soft skills
- Employee resource groups
- Company-wide events
- Employee referral bonus program
- Quarterly team building events
- Shared ownership employee stock program
- Monthly transportation stipend
- Comprehensive health benefits
- STD, LTD, AD&D and life insurance
- Ability to apply for tuition reimbursement
- CFA exam stipend
- Employee assistance program
- Generous allotment of vacation days, sick days and volunteer days
- Matching gifts program
- Subsidized emergency childcare
- Dependent Care FSA
- 401k match
Company values
- Customers are King: We only succeed when our clients do - and that drives us. We seek to understand our client's needs, both internally and externally
- Excellence as a State of Mind: We hold high standards. We set and conquer aggressive goals - executing on details
- Embrace and Drive Change: We challenge the status quo and embrace the better way
- Focus on Focus: We never lose sight of what's important. We focus on the actions that create success
- Make it fun: We positively impact our coworkers and clients. We work hard and make it fun too
Company HQ
Central Business District, Seattle, WA
Articles
Leadership
John Gabbert
(CEO)Previously the Managing Director of Private Markets at Dow Jones. Also spent over 6 years at VentureOne in multiple roles, including Director of Reseach/Operations and VP of Worldwide Research.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 17 more jobs at PitchBook