GTM Engineer at Workstream

Oregon, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

HR Technology, SaaSIndustries

Requirements

4–7 years of experience in data engineering, analytics engineering, or data science in a high-growth B2B SaaS environment
Strong command of SQL and Python for building and automating data workflows
Experience designing and maintaining data warehouses (Snowflake preferred) and building pipelines from scratch
Familiarity with integrating data into Salesforce or other CRMs via APIs, Bulk API, or reverse ETL tools
A creative, hacker mindset: comfortable sourcing and cleaning messy external datasets, using scrapers, APIs, and enrichment tools
Ability to operate independently with limited structure—comfortable owning a greenfield project end-to-end
Strong business judgment and communication skills; able to work cross-functionally and explain technical concepts to non-technical stakeholders
Must be willing to work in-office 5 times a week: in Menlo Park on Monday, Tuesday, Friday, and in San Francisco on Wednesday & Thursday

Responsibilities

Design and implement a scalable data warehouse and ETL pipelines to consolidate large volumes of third-party and internal data
Build reliable data models that capture firmographics, technographics, marketplace volume, location signals, and outreach history
Ensure data quality, deduplication, and enrichment processes are automated and scalable
Partner with data science to productionize account scoring models (Expected GMV, E-Win Rate, etc.)
Continuously expand and refine the dataset by adding new signals (reviews, POS adoption, competitive presence)
Ensure scoring outputs integrate cleanly into Salesforce and other GTM systems to drive real-time usage
Collaborate with GTM leaders to align the scoring system with outbound workflows, BDR routing, and marketing campaigns
Translate business requirements into technical specifications, ensuring the system serves multiple teams (Sales, SDRs, Marketing)
Support experimentation with outbound messaging by capturing feedback data and routing it into the scoring loop

Skills

ETL

Data Warehouse

Data Pipelines

Data Modeling

Data Quality

Deduplication

Firmographics

Technographics

POS Integrations

Workstream

HR platform for hiring and onboarding

About Workstream

Workstream.us is a platform that helps businesses streamline their hiring and onboarding processes, particularly for hourly workers. It offers tools for applicant tracking, digital onboarding, payroll management, and employee engagement, all designed to attract and engage job candidates effectively. The platform uses artificial intelligence to automate HR tasks, allowing businesses to focus more on their employees. Workstream differentiates itself by providing a comprehensive suite of HR solutions tailored for hourly worker employment, with a subscription-based revenue model.

San Francisco, CaliforniaHeadquarters

2017Year Founded

$114.8MTotal Funding

SERIES_BCompany Stage

Enterprise Software, AI & Machine LearningIndustries

201-500Employees

Benefits

Medical, dental, & vision

Paid counseling sessions

Competitive market compensation

Generous stock

Flexible PTO

Paid parental leave

Professional development

Risks

Emerging HR tech startups may erode Workstream's market share.

AI-driven solutions face potential biases, leading to legal and reputational risks.

Economic downturns in the restaurant industry could impact Workstream's revenue.

Differentiation

Workstream offers a comprehensive HR platform tailored for the hourly workforce.

The platform integrates AI to automate and streamline HR tasks efficiently.

Workstream's multilingual AI chatbot enhances communication for diverse workforces.

Upsides

Growing demand for AI-driven HR solutions boosts Workstream's market potential.

Mobile-first HR solutions are increasingly popular among deskless and hourly workers.

Subscription-based model provides steady revenue and upselling opportunities.

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