Engineering Manager, Datasite

• Experience leading engineering teams that build data-intensive products, proprietary datasets, or data platform capabilities at scale
• Strong comfort with Python, SQL, and backend services in a data-heavy environment; ability to guide full-stack/API work when data capabilities surface in the product
• Experience designing and operating ETL/ELT pipelines, data quality systems, and queue-based, event-driven, or asynchronous workflows
• Strong grasp of data modeling, entity resolution, schema evolution, reliability, observability, architectural patterns, and engineering trade-offs
• Proficiency with AI-driven and agentic coding workflows: able to break down complex goals, provide context, delegate work to engineers and parallel agents, and verify output quality
• Demonstrated ability to define what good looks like for data and software systems through clear acceptance criteria, evaluations, tests, metrics, and review practices
• Outcome-oriented leadership: ability to connect technical and data investments to customer value, product strategy, and commercial outcomes while reinforcing strong ownership across the team
• We're looking for an engineering leader who brings strong judgment, ownership, and collaboration skills. You may demonstrate strengths in areas such as:
• Anticipating cross-team constraints and balancing technical and data risk with delivery goals
• Holding teams to a high-quality bar for both code and data while reinforcing sustainable execution
• Forecasting capacity, negotiating scope, and planning effectively across quarters
• Communicating clearly with technical and non-technical partners, especially when translating ambiguous data problems into actionable plans
• Guiding teams through architectural evolution, platform upgrades, and data model changes
• Proactively improving processes, metrics, engineering effectiveness, and data quality feedback loops
• Developing engineers into product-minded, agent-first builders who can operate with autonomy, context, and end-to-end ownership

Desirable

• Grata is the leading private market dealmaking platform. We make it easy to find, research, and engage with private companies while powering end-to-end M&A business development workflows
• Our platform delivers the most comprehensive, accurate, and searchable proprietary data on private companies, their financials, and their owners
• We are looking for an Engineering Manager to lead one of our Data Product Pillars, a team responsible for the systems and workflows that create, enrich, validate, and serve Grata's proprietary private-company datasets
• This role sits at the intersection of data engineering, product, AI-enabled automation, and scalable platform engineering, and will play a critical role in making Grata's data more comprehensive, accurate, fresh, and actionable for dealmaking teams
• As an Engineering Manager, you will be accountable for both delivery and people leadership, while partnering closely with Product, Data, AI, Design, and customer-facing stakeholders
• Own the outcomes of your team's efforts by ensuring successful data and product deliveries, including incremental value creation, data coverage, freshness, quality, system performance, and commercial impact
• Coach engineers on growth plans and promotions using established engineering pathways
• Establish and evolve healthy team practices, including planning, execution, quality, data validation, and operational excellence
• Represent Engineering in cross-functional ceremonies and planning with Product, Data, AI, Design, Data Operations, and customer-facing partners
• Balance near-term delivery with long-term technical health, identifying and managing data platform debt, schema evolution, pipeline reliability, and operational risk
• Translate product, data, and technical vision into clear execution plans, crisp task breakdowns, and measurable outcomes
• Teach and model effective delegation in an AI-enabled engineering environment: give engineers and agents the right context, tools, constraints, and definition of good, then inspect outcomes
• Foster a culture of high ownership, psychological safety, and sustainable pace
• This role is primarily focused on management and leadership, with hands-on technical engagement as needed to guide architecture, unblock teams, and support high-impact data initiatives
• Building and scaling Grata's proprietary company data platform, including ingestion, enrichment, normalization, entity resolution, quality controls, and serving layers
• Improving freshness, coverage, and accuracy for company profiles, financials, transactions, ownership, firmographics, and related market intelligence
• Partnering closely with Product Managers and Data/AI partners to identify customer pain points, automate data workflows, and turn messy sources into trusted product experiences
• Developing platform capabilities that make Grata's data more searchable, actionable, and defensible across M&A business development workflows
• Strengthening observability, evaluation, and incident response for data systems customers depend on