Growth.Talent
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Senior Marketing AI Data Engineer

Samsara • United States

Growth MarketingSeniorOn-siteFull time$160K - $200K
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Data EngineeringMarTechAI/MLOn-site$160K-$200KB2B SaaSSenior

The Challenge

Samsara (NYSE: IOT) is digitizing physical operations across 40% of global GDP—agriculture, construction, transportation, manufacturing. You'll architect the marketing data infrastructure that powers revenue decisions for a hyper-growth public company in the Connected Operations space.

Your Mission

First 3 Months
1

Audit and optimize existing marketing databases and CDP to identify pipeline bottlenecks and data quality issues

2

Build foundational data pipelines for AI/ML initiatives, including vector database integration for Gen AI applications

3

Partner with BI team to scope conversational AI capabilities and define success metrics for ambient intelligence tools

4

Document current data architecture and create roadmap for scaling infrastructure to support 100+ marketing automation use cases

By 6 Months
1

Launch and operationalize feature store enabling predictive modeling for lead scoring and churn prediction

2

Implement automated data quality monitoring reducing manual validation tasks by 60%+

3

Deploy vector database infrastructure supporting Gen AI-powered personalization and content recommendations at scale

4

Enable advanced segmentation capabilities in CDP supporting 50+ concurrent marketing campaigns with real-time audience updates

KPIs You'll Own

Pipeline Reliability (Data SLA)

Percentage of marketing data pipelines meeting 99.5%+ uptime target, tracked weekly.

Time-to-Insight

Average hours from raw data ingestion to actionable analytics dashboard availability for marketing teams.

ML Model Deployment Velocity

Number of predictive models deployed to production per quarter supporting AI/ML marketing initiatives.

Marketing Automation Efficiency

Percentage of manual marketing tasks automated through AI pipelines, targeting 40%+ reduction YoY.

Customer Data Coverage

Percentage of total customer base with unified profiles in CDP enabling advanced segmentation and personalization.

Tools & Stack

Customer Data Platform (Samsara proprietary)Vector databasesFeature storesGenerative AI platformsData warehousing (Snowflake/Redshift implied)BI/analytics toolsPythonSQL

Your Team

Your Manager

Data & Analytics Manager or VP of Marketing

Current Team

Data engineers, analytics managers, data scientists (3-6 person team)

New role - expanding team for AI/ML and CDP initiatives

The Package

Salary

$160K-$200K base

Equity

Likely RSUs (public company)

Remote

On-site (US only, excluding SF Bay, NYC, DC metro areas)

Benefits & Perks

Equity as public company employee
Career acceleration in hyper-growth environment
High-caliber engineering team and mentorship
Autonomy to architect solutions end-to-end
Focus on real-world impact across essential industries
Collaborative, experimental culture

Company Intelligence

Samsara (NYSE: IOT) pioneered the Connected Operations Cloud, enabling organizations in agriculture, construction, transportation, manufacturing, and field services to harness IoT data for operational insights. Publicly traded, serving enterprises managing physical assets at scale with video-based safety, vehicle telematics, and equipment monitoring solutions.

Founded

2015

Team Size

1000+

Funding

Public (IPO)

Customers

Enterprise infrastructure, logistics, and operations companies

Culture

Scrappy, data-driven, collaborative; emphasis on autonomy, experimentation, and long-term impact

Is This Role For You?

For You If
  • You've architected marketing data infrastructure or CDPs at scale in fast-growing SaaS companies
  • You're fluent in Python/SQL and comfortable with cloud data warehouses, feature stores, and vector databases
  • You're excited about applying Gen AI to marketing automation and predictive modeling—not just watching the hype
  • You thrive in ambiguity and want to shape how a $10B+ company uses data to drive revenue
Won't Work If
  • You need remote flexibility or prefer West Coast locations—this is on-site in approved US metros only
  • You're looking for a pure analytics or BI role—this requires hands-on data engineering and infrastructure work
  • You haven't shipped production data pipelines or ML models in a revenue-focused environment

Interview Process

1

Initial screening

Recruiter conversation on background, data architecture experience, and AI/ML pipeline work

2

Technical deep dive

Interview with Data Engineering lead on CDP design, pipeline architecture, and Gen AI data infrastructure

3

Case study or design exercise

Whiteboard or take-home assignment building data pipeline for marketing personalization use case

4

Cross-functional collaboration

Conversation with BI team and marketing stakeholders on working style and impact priorities

5

Executive alignment

Final conversation with VP of Marketing or Data & Analytics leadership on vision and 18-month roadmap

Interested in this role?

Apply now and hear back within days, not weeks.

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