Datasite

2 weeks ago

Engineering Manager, Company Data - Grata

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Lead an engineering team responsible for a Data Product Pillar that builds, enriches, validates, and serves Grata’s proprietary private-company datasets. Own both delivery and people leadership while partnering with Product, Data, AI, Design, and customer-facing stakeholders. Drive improvements in data freshness, coverage, quality, performance, and observability, translate technical vision into measurable execution plans, and guide architectural evolution and long-term platform health.

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Own outcomes for successful data and product deliveries, including data coverage, freshness, quality, system performance, and commercial impact.
•Coach engineers on growth plans and promotions using established engineering pathways while establishing healthy team practices.
•Represent Engineering in cross-functional planning and ceremonies with Product, Data, AI, Design, Data Operations, and customer-facing stakeholders.
•Balance near-term delivery with long-term technical health by managing data platform debt, schema evolution, pipeline reliability, and operational risk.
•Translate product/data/technical vision into clear execution plans with measurable outcomes, teaching effective delegation in an AI-enabled engineering environment.

Pay and Benefits

Salary: USD 141,000 - 248,000 annually

Perks:Health InsuranceRetirement SavingsPaid Leave

Key Requirements

•Experience leading engineering teams building data-intensive products or data platform capabilities at scale.
•Strong comfort with Python and SQL and backend services; guide full-stack/API work when data capabilities surface in the product.
•Design and operate 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, including delegating work to engineers and parallel agents and verifying output quality.

Experience:Data engineeringData platformsAI-enabled automationPrivate markets

Skills:LeadershipOwnershipCollaborationCommunicationDelegation

Tech Stack:PythonSQLETLELTBackend servicesFull-stackAPIEvent-driven workflowsAsynchronous workflowsData modelingEntity resolutionSchema evolutionObservabilityDatabricksSparkKafkaPulsarElasticsearchOpenSearchGraph databases

Company Brief

Datasite

Provides board reporting and meeting-management SaaS that streamlines preparation, collaboration and follow-up for executive and board meetings, delivering secure workflows and AI-powered insights to improve decision-making for large organisations.

Industry: Enterprise Software

Company Size: Medium (51 to 250 employees)

Growth: Established Company

Funding: Series B

Headquarters: Zurich, Switzerland

Founded: 2011

Glassdoor: 4.4

Website LinkedIn Glassdoor

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Datasite

2 weeks ago

Engineering Manager, Company Data - Grata

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Own outcomes for successful data and product deliveries, including data coverage, freshness, quality, system performance, and commercial impact.
•Coach engineers on growth plans and promotions using established engineering pathways while establishing healthy team practices.
•Represent Engineering in cross-functional planning and ceremonies with Product, Data, AI, Design, Data Operations, and customer-facing stakeholders.
•Balance near-term delivery with long-term technical health by managing data platform debt, schema evolution, pipeline reliability, and operational risk.
•Translate product/data/technical vision into clear execution plans with measurable outcomes, teaching effective delegation in an AI-enabled engineering environment.

Pay and Benefits

Salary: USD 141,000 - 248,000 annually

Perks:Health InsuranceRetirement SavingsPaid Leave

Key Requirements

•Experience leading engineering teams building data-intensive products or data platform capabilities at scale.
•Strong comfort with Python and SQL and backend services; guide full-stack/API work when data capabilities surface in the product.
•Design and operate 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, including delegating work to engineers and parallel agents and verifying output quality.

Experience:Data engineeringData platformsAI-enabled automationPrivate markets

Skills:LeadershipOwnershipCollaborationCommunicationDelegation

Company Brief

Datasite

Industry: Enterprise Software

Company Size: Medium (51 to 250 employees)

Growth: Established Company

Funding: Series B

Headquarters: Zurich, Switzerland

Founded: 2011

Glassdoor: 4.4

Website LinkedIn Glassdoor