{"id":167961,"url":"https://alion.io/job/datasite-engineering-manager-company-data-grata","title":"Engineering Manager, Company Data - Grata","company":{"id":7183,"name":"Datasite","domain":"datasite.com","url":"https://alion.io/company/datasite","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":3,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States","San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":141000,"max":248000,"currency":"USD","period":"year","gross":null,"usd_annual":248000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Databricks","optional":true},{"name":"ElasticSearch","optional":true},{"name":"LLM","optional":true},{"name":"OpenSearch","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-08-25T00:00:00Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-31T08:32:43Z","board_verified":true,"closed_at":null,"days_open":67,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":67},"description":"About us\nDatasite is the essential infrastructure for M&A. Also comprising Grata, Blueflame AI, and Sherpany, we help dealbreakers find opportunities, manage transactions, and make key decisions.\nWhatever your talents, you can find a place for them here. Get involved in some of the biggest business ventures today. Work with other gifted people around the world. Follow your ambitions, or discover a whole new path.\nCan you help us simplify the complex, create great experiences, and deliver better outcomes? Then let's talk.\nJob Description:\nGrata is the leading private market dealmaking platform. We make it easy to find, research, and engage with private companies while powering end-to-endM&A business development workflows. Our platform delivers the most comprehensive,accurate, and searchable proprietary data on private companies, their financials, and their owners.\nWe are looking for anEngineering Manager to leadone of our Data Product Pillars,ateam responsible for the systems and workflows that create, enrich,validate, and serve Grata's proprietary private-companydatasets. 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'sdata more comprehensive,accurate, fresh, and actionable for dealmaking teams.\nGrata is a hybrid company, with in-office collaboration in NYC on Mondays, Tuesdays, and Thursdays.\nWhat You’ll Do\nAs an Engineering Manager, you will be accountable for bothdelivery and people leadership, while partnering closely with Product, Data, AI, Design, and customer-facing stakeholders.\nYou will:\nOwn 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.\n\nCoach engineers on growth plans and promotions using established engineering pathways.\n\nEstablish and evolve healthy team practices, including planning, execution, quality, data validation, and operational excellence.\n\nRepresent Engineering in cross-functional ceremonies and planning with Product, Data, AI, Design, Data Operations, and customer-facing partners.\n\nBalance near-term delivery with long-term technical health,identifyingand managing data platform debt, schema evolution, pipeline reliability, and operational risk.\n\nTranslate product, data, and technical vision into clear execution plans, crisp task breakdowns, and measurable outcomes.\n\nTeach 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.\n\nFoster a culture of high ownership, psychological safety, and sustainable pace.\n\nThis 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.\nWhat You’ll Be Working On\nBuilding and scaling Grata's proprietary company data platform, including ingestion, enrichment, normalization, entity resolution, quality controls, and serving layers.\n\nImproving freshness, coverage, and accuracy forcompanyprofiles, financials,transactions,ownership, firmographics, and related market intelligence.\n\nPartnering closely with Product Managers and Data/AI partners toidentifycustomer pain points, automate data workflows, and turn messy sources into trusted product experiences.\n\nDeveloping platform capabilities that make Grata's data more searchable, actionable, and defensible across M&A business development workflows.\n\nStrengthening observability, evaluation, and incident response for data systems customers depend on.\n\nTechnical Requirements (Must Have)\nExperience leading engineering teams that build data-intensive products, proprietary datasets, or data platform capabilities at scale.\n\nStrong 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.\n\nExperience designing and operating ETL/ELT pipelines, data quality systems, and queue-based, event-driven, or asynchronous workflows.\n\nStrong grasp of data modeling, entity resolution, schema evolution, reliability, observability, architectural patterns, and engineering trade-offs.\n\nProficiencywith 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.\n\nDemonstrated ability to define what good looks like for data and software systems through clear acceptance criteria, evaluations, tests, metrics, and review practices.\n\nOutcome-oriented leadership: ability to connect technical and data investments to customer value, product strategy, and commercial outcomes while reinforcing strong ownership across the team.\n\nTechnical Experience (Nice to Have)\nFamiliarity with modern data processing systems, such as:\n\nDatabricks, Spark, or distributed data processing\n\nKafka, Pulsar, or similar event streaming platforms\n\nElasticsearch/OpenSearch, graph databases, or search/indexing infrastructure\n\nExperience with LLM-assisted data extraction, enrichment, classification, orevaluationworkflows.\n\nExperience with entity resolution, deduplication, taxonomy/ontology design, orknowledgegraph-style data models.\n\nExposure tocloud-native architectures and scalable backend services.\n\nWhat We’re Looking For\nWe'relooking for an engineering leader who brings strong judgment, ownership, and collaboration skills. You maydemonstratestrengths in areas such as:\nAnticipating cross-team constraints and balancing technical and data risk with delivery goals.\n\nHolding teams to a high-quality bar for both code and data while reinforcing sustainable execution.\n\nForecasting capacity, negotiating scope, and planning effectively across quarters.\n\nCommunicating clearly with technical and non-technical partners, especially when translating ambiguous data problems into actionable plans.\n\nGuiding teams through architectural evolution, platform upgrades, and data model changes.\n\nProactively improving processes, metrics, engineering effectiveness, and data quality feedback loops.\n\nDeveloping engineers into product-minded, agent-first builders who canoperatewith autonomy, context, and end-to-end ownership.\n\nThe base salary range represents the estimated low and high end for this position based on a good faith assessment of the role and market data at the time of posting. Consistent with applicable law, each candidate’s compensation offer may vary and will be determined based on but not limited to, your geographic region, skills, qualifications, and experience along with the requirements of the position. This position may be eligible for bonuses, commissions, or overtime if applicable. Benefits include health insurance (medical, dental, vision), a retirement savings plan, paid time off, and other employee benefits. Specific details will be provided during the interview process. Datasite reserves the right to modify this pay range at any time.\n$141,000.00 - $248,000.00Our company is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic. 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