AtSPDTechnology, webring together ateam oflike-minded people who are driven bythe desire tobring value through their work, united intheir commitment tohigh performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. Weempower our people with aculture ofexcellence and enable them with the opportunity touphold their accountability tocontribute oneach level. Wevalue humanity and collaboration, encourage professional and personal growth, and foster asupportive and versátil work environment where everyone’s contribution iswelcomed.
Compruebe que cumple con los requisitos de habilidades para este puesto, así como con la experiencia asociada, y luego envíe su CV a continuación.
And now weare looking for aEngineering Manager, Applied AI & Machine Learning Engineeringtojoinus aspart ofour team.
About Role
PitchBook— aplatform for investment professionals. Our software provides access todata and the analytical tools toget answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data ofmore than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others.
As an Engineering Manager, AI & ML, you will play a vital role in executing the company’s AI and machine learning initiatives with a strong focus on generating and delivering insights from PitchBook’s wealth of structured data and unstructured text (reports, news, etc.) in the PitchBook Platform. This position will require deep technical expertise in advanced structured and unstructured data analytics, and a hands-on approach to managing and mentoring engineers. Your leadership will ensure that our AI & ML insights are developed and operationalized at the highest standards of performance, reliability, and security. You will be working closely with individual contributors, ensuring that projects align with broader business goals and AI/ML strategies.
This role requires deep engagement in the design, development, and maintenance of AI & ML models, solutions, architecture, and services. You will need to provide strong technical direction, problem-solve complex technical challenges, and ensure that the team consistently delivers high-quality, scalable solutions. You will leverage your deep knowledge in areas such as advanced natural language processing (NLP), Generative AI (GenAI), and large language models (LLMs), data architecture, and cloud-managed services.
Your goal will be to drive unique value for our customers through the speed, quantity, quality, and discoverability of data in the PitchBook Platform using artificial intelligence technologies, ml models, and data algorithms. Incorporated in this are both the ability to decipher insights from millions of discrete unstructured and structured data sources for incorporation in our platform and the acumen to apply ML models to our stored datasets to uncover and deliver opaque insights and predictions to our customers. Your leadership will ensure that our AI/ML systems align with global business strategies,



maintaining seamless integration and high-performance standards. You will oversee the end-to-end lifecycle of AI/ML data systems—from research and development to deployment and operationalization.
You will be responsible for mentoring team members, resolving technical challenges, and fostering a culture of innovation and collaboration while ensuring they have the right resources, tools, frameworks, and guidance to succeed. This role offers a unique opportunity to drive impactful change in a fast-paced, dynamic environment, where your efforts will directly contribute to the success of our AI/ML initiatives globally. Your ability to collaborate with cross-departmental stakeholders, provide leadership across locations, set high standards for the team, and hire, train, and retain exceptional talent is foundational to your success. You will solicit feedback, engage others with empathy, inspire creative thinking, and help foster a culture of belonging, teamwork, and purpose.
Our Tech Stack & Focus Areas
- Generative AI & LLMs: Develop and maintain LLM-based solutions for generative features.
- Classic ML Models: Develop and maintain predictive and classification models for financial data
- Vector Databases: Implementing efficient storage and retrieval systems for high-dimensional data embeddings.
- Embeddings: Developing hybrid models to extract insights from diverse data sources.
- High-Volume Data Management: Engineering systems capable of handling massive, real-time data streams.
Work Environment
Flexible schedule with participation in team ceremonies and cross-functional collaboration. Time zone: Europe/Kyiv.
As a qualified expert, You will:
- Lead machine learning engineering implementation and execution (operations, processes, practices, and standards), and code quality across the team, working closely with engineering leadership and product management to craft roadmaps and achieve success criterias.
- Ensure AI/ML roadmap items are delivered on-time and with exceptional quality.
- Serves as a force multiplier for AI/ML teams by removing roadblocks, implementing process improvements, providing frequent, actionable feedback to team members, and building practices for ideation and innovation.
- Ensure robust AI/ML engineering solutions and documentation are maintained, developing a detailed understanding of key aspects of current software state, and engaging AI/ML engineers at a code and design level.
- Describe technical context in intuitive ways for different audiences, adapting communication from highly technical deep dives with engineers to non-technical dialogue with executive stakeholders.
- Learn constantly, including in NLP techniques, AI, ML and MLOps technologies, libraries, and frameworks (commercial and open source), data engineering,



and cloud services for ML.
- Establish and drive a culture founded in creating belonging, psychological safety, candor, connection, cooperation, and fun.
We’re looking for you if you have
- M.S. in Computer Science, Data Science, Machine Learning, Software Engineering, or related.
- 7+ years in engineering or data science roles with a machine learning focus.
- 3+ years in an engineering leadership role with direct management responsibilities of at least 5 people.
- 3+ years hands-on coding and delivering large-scale ML models and systems as a Machine Learning Engineer or Data Scientist. Natural language processing (NLP) experience a must.
- Extensive experience with Python and associated ML libraries such as pandas, scikit-learn, keras, and PyTorch. Strong SQL knowledge is a must.
- Experience owning machine learning services that are provided “as a service” to other teams as part of a large-scale distributed microservices architecture.
- Experience with data pipelines, data platforms, and data lake/warehouse technologies, such as Apache Kafka, Amazon SNS/SQS/Kinesis, Apache Airflow, Spark, AWS Glue, GCP Cloud Dataflow, Snowflake.
- Experience with containerization technologies, including Kubernetes and Docker, and understanding how to build cloud-scale delivery, including scalability, resiliency, and recoverability.
- Has successfully delivered on large technical initiatives from scoping to launch, with a strong metrics focus.
- Excellent communication skills, written and verbal.
- English — Upper Intermediate or higher; Ukrainian — fluent.
Reveal great tech solutions
Join the team ofexperts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and bepart ofateam that values your skills and contributions. Focus onlong-term impact and building tailored, long-lasting partnerships with our clients.
Experience anagile and flexible working environment
Enjoy the freedom offully remote work with aflexible working schedule. Empower yourself with astable workload and astable income, supported byprovided laptops and licensed software. Wefocus onlasting cooperation and unite result-oriented individuals who stand onahigh-performance approach towork.
Embrace the opportunity for personal and professional growth
Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more.
Beamong like-minded people
Work with ateam ofone mind who cares about what they doand how theydo. Collaborate with top-notch experts who are always ready tohelp and support you through any challenges. Join company-wide tech and cultural events, and contribute tomeaningful CSR initiatives that resonate with your values. xqbhyrx Feel supported byyourHR, and take advantage ofour referral bonus program.
Interview Steps:
1. Pre-screening with recruiter
2. Technical Interview
3. System design interview
4. Product Interview
5. Final client Interview
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📌 Engineering Manager, Applied AI & Machine Learning Engineering (España)
🏢 SPD Technology
📍 España