Engineering Manager, Company Data - Grata

Datasite and its associated businesses are the global center for facilitating economic value creation for companies across the globe. From data rooms to AI deal sourcing and more. Here you’ll find the finest technological pioneers: Datasite, Blueflame AI, Grata, and Sherpany. They all, collectively, define the future for business growth.   Apply for one position or as many as you like. Talent doesn’t always just go in one direction or fit in a single box. We’re happy to see whatever your superpower is and find the best place for it to flourish.   Get started now, we look forward to meeting you. . Job Description: 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   dataset s . 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.     Grata is a hybrid company, with in-office collaboration in NYC on Mondays, Tuesdays, and Thursdays. What You’ll Do 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.   You will:   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…