Otter

1 month ago

Engineering Manager - Data Engineering & Insights

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Lead and grow Otter's analytics engineering team to build a scalable data foundation powering live, AI-enabled insights for restaurant partners. Own end-to-end data pipelines, semantic layer, governance, and data-facing products like Analytics App and Analytics Studio. Collaborate with product, design, and executives, hire and coach engineers, and drive AI-ready data foundations with strong guardrails and observability.

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Manager level

Key Responsibilities

•Own Otter Insights End-to-End: Lead the strategy for everything inside Business Manager (pipelines and datasets to the semantic modeling layer and customer-facing embedded analytics).
•Manage Ingestion to Serving: Drive both real-time and batch pipelines, ensuring canonical datasets and robust APIs are built to empower other internal teams.
•Scale the Semantic Layer: Oversee frameworks (like Cube/SQLMesh) to ensure metrics and dimensions remain consistent across batch and real-time processing.
•Drive Data Governance: Establish analytics engineering standards and ensure adoption across broader product teams to maintain high data quality.
•Ship High-Performance Products: Deliver data-intensive, customer-facing applications including the Analytics App, Analytics Studio, automated reports, and data-sharing APIs.

Pay and Benefits

Salary: USD 224,000 - 283,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceVision401kHsaPet InsuranceLife InsuranceDisability Insurance

Key Requirements

•Blended Team Leadership: 4+ years of experience leading engineering teams across both data/platform and product domains
•Cross-Functional Team Building: Proven track record building and scaling diverse teams (backend, analytics engineering, and full-stack/frontend)
•Modern Data Modeling: A strong background in data modeling and semantic layers, alongside a history of delivering B2B or customer-facing analytics products
•Pragmatic Data Governance: Experience implementing data lineage, catalogs, compliance, and quality frameworks
•Product & Executive Partnership: Ability to collaborate closely with PMs, designers, and executive stakeholders

Experience:4+ yearsRestaurantDeliveryAnalyticsSaaSData analytics

Skills:LeadershipMentoringCollaborationStakeholder managementCommunication

Languages:English

Tech Stack:SQLMeshDbtCubeFlinkClickHousePinotTrinoReactTypeScriptJavaKotlinScala

Company Brief

Otter

Otter provides AI-powered transcription and meeting collaboration tools that generate searchable, shareable notes and summaries from voice conversations, helping teams capture, organize, and revisit meeting insights across devices and platforms.

Industry: SaaS

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: Los Altos, United States

Founded: 2016

Website LinkedIn

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Otter

1 month ago

Engineering Manager - Data Engineering & Insights

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Manager level

Key Responsibilities

•Own Otter Insights End-to-End: Lead the strategy for everything inside Business Manager (pipelines and datasets to the semantic modeling layer and customer-facing embedded analytics).
•Manage Ingestion to Serving: Drive both real-time and batch pipelines, ensuring canonical datasets and robust APIs are built to empower other internal teams.
•Scale the Semantic Layer: Oversee frameworks (like Cube/SQLMesh) to ensure metrics and dimensions remain consistent across batch and real-time processing.
•Drive Data Governance: Establish analytics engineering standards and ensure adoption across broader product teams to maintain high data quality.
•Ship High-Performance Products: Deliver data-intensive, customer-facing applications including the Analytics App, Analytics Studio, automated reports, and data-sharing APIs.

Pay and Benefits

Salary: USD 224,000 - 283,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceVision401kHsaPet InsuranceLife InsuranceDisability Insurance

Key Requirements

•Blended Team Leadership: 4+ years of experience leading engineering teams across both data/platform and product domains
•Cross-Functional Team Building: Proven track record building and scaling diverse teams (backend, analytics engineering, and full-stack/frontend)
•Modern Data Modeling: A strong background in data modeling and semantic layers, alongside a history of delivering B2B or customer-facing analytics products
•Pragmatic Data Governance: Experience implementing data lineage, catalogs, compliance, and quality frameworks
•Product & Executive Partnership: Ability to collaborate closely with PMs, designers, and executive stakeholders

Experience:4+ yearsRestaurantDeliveryAnalyticsSaaSData analytics

Skills:LeadershipMentoringCollaborationStakeholder managementCommunication

Languages:English

Tech Stack:SQLMeshDbtCubeFlinkClickHousePinotTrinoReactTypeScriptJavaKotlinScala

Company Brief

Otter

Industry: SaaS

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: Los Altos, United States

Founded: 2016

Website LinkedIn