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Growth Data Jobs

3 jobs found

30d ago

Machine Learning Engineer, Growth

Whatnot Seattle, WA 🇺🇸 Remote

Seattle, WA

30d ago Closed

$190k - $280k/yr Full time Artificial Intelligence Data Engineer Data Pipeline

This position is no longer accepting applications (closed Sep 6, 2026).

Job Description

Whatnot’s Buyer Growth team is focused on improving how new buyers discover value and convert over time, with machine learning at the center of that effort. As a Machine Learning Engineer, you will build and take ownership of models that support personalization across onboarding and user targeting, spanning acquisition and engagement channels to drive buyer growth and improve first-time conversion.

What you’ll do

Design, develop, and productionize machine learning models for user acquisition, activation, and retention, including ranking models, targeting systems, and uplift modeling.
Own the end-to-end ML lifecycle: build and maintain data pipelines, perform feature engineering, train models, deploy them, and run online experimentation.
Create feedback loops that connect postbacks, conversions, and downstream revenue signals back into model and product iteration.
Find and prioritize high-impact growth opportunities where machine learning can unlock measurable results, working closely with product, engineering, data, and marketing partners.
Drive technical excellence by establishing ML best practices across the Buyer Growth team.

What you bring

5+ years of industry experience building and deploying machine learning systems at scale.
Proven experience leading end-to-end ML projects that delivered measurable business outcomes.
Deep expertise in personalization, ranking, or user modeling and strong intuition for user behavior in consumer products.
Advanced proficiency in Python, SQL, and common ML frameworks such as PyTorch, TensorFlow, and XGBoost.
Strong communication and leadership skills, with the ability to influence roadmap decisions and align cross-functional teams.
Preferred: Experience building ML applications in e-commerce or social products.
Preferred: Prior growth-domain experience such as user segmentation, retention modeling, large-scale recommendation systems, and notification ranking.

Technologies

Python
SQL
PyTorch
TensorFlow
XGBoost

Location and compensation

Seattle, WA (remote). Compensation range: USD 190,000 - 280,000 per year. Minimum experience: 5 years. EOE.

Benefits

Flexible Time Off Policy and company-wide holidays, including a spring and winter break
Health Insurance options including Medical, Dental, Vision
Work From Home Support
Home office setup allowance
Monthly allowance for cell phone and internet
Care benefits
Monthly allowance for wellness
Annual allowance towards Childcare
Lifetime benefit for family planning, such as adoption or fertility expenses
Retirement: 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
Monthly allowance to dogfood the app
Parental Leave: 16 weeks of paid parental leave plus one month gradual return to work

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1mo ago

Machine Learning Engineer, Growth

Whatnot Los Angeles, CA 🇺🇸 Remote

Los Angeles, CA

1mo ago Closed

$190k - $280k/yr Full time Ai Ml Artificial Intelligence Data Pipeline

This position is no longer accepting applications (closed Sep 1, 2026).

Job Description

Whatnot is expanding its Buyer Growth team with a Machine Learning Engineer who will own models that power onboarding and targeted experiences to accelerate buyer growth and improve first-time conversions. Based in Los Angeles with remote options, this role centers on end-to-end ML initiatives that impact acquisition, activation, and retention for first-time buyers.

Responsibilities

Design, develop, and productionize ML models that drive user acquisition, activation, and retention, including ranking models, targeting systems, and uplift modeling.
Own the full ML lifecycle: data pipelines, feature engineering, model training, deployment, and online experimentation; build feedback loops from postbacks, conversions, and downstream revenue signals.
Identify and prioritize high-impact opportunities where machine learning can unlock growth, collaborating with product, engineering, data, and marketing stakeholders.
Drive technical excellence and establish ML best practices across the Buyer Growth team.

Requirements

5+ years of industry experience building and deploying ML systems at scale.
Proven track record leading end-to-end ML projects that delivered measurable business outcomes.
Deep expertise in personalization, ranking, or user modeling, with a strong intuition about consumer behavior in digital products.
Advanced proficiency in Python, SQL, and common ML frameworks such as PyTorch, TensorFlow, and XGBoost.
Strong communication and leadership abilities with the capacity to influence roadmaps and align cross-functional teams.

Technologies

Python
SQL
PyTorch
TensorFlow
XGBoost

Benefits

Flexible time off and company-wide holidays, including spring and winter breaks
Health coverage options (Medical, Dental, Vision)
Work from home support
Home office setup allowance
Monthly stipend for cell phone and internet
Care benefits
Wellness stipend
Annual childcare allowance
Lifetime support for family planning, including adoption or fertility expenses
Retirement options including Traditional and Roth 401(k) in the US with employer matching up to 4%, plus pension plans internationally
Monthly allowance to explore and test the app within the platform
Dogfood-friendly culture with a budget to support using Whatnot as both buyer and seller
Parental leave
16 weeks of paid parental leave plus a one-month gradual return to work, with country leave requirements taking precedence

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3mo ago

Growth Marketing Specialist (Paid Media, Social & Analytics)

JUMO Process Control, Inc. East Syracuse, NY

East Syracuse, NY

3mo ago Closed

$26 - $30/hr Full time Marketing Ads Analytics

This position is no longer accepting applications (closed Jun 17, 2026).

Job Description

Growth Marketing Specialist, onsite in East Syracuse, NY, focused on paid media, social campaigns, and analytics, with a compensation range of USD 26 - 30 per hour.

Responsibilities

Oversee and optimize Google Ads campaigns to drive performance
Contribute to paid and organic social media initiatives
Evaluate campaign results and user funnels to uncover growth opportunities
Partner on website improvements and conversion rate optimization efforts
Convert data into actionable insights and strategic recommendations

Requirements

2 to 5 years of experience in digital or growth marketing
Demonstrated experience with Google Ads
Experience or strong interest in social media marketing
Strong analytical ability with data interpretation
Fundamental knowledge of GA4, tracking, and performance metrics
Hands-on, proactive, and adaptable

Technologies

Google Ads
GA4

Benefits

Competitive salary plus performance-based growth opportunities
Health, dental, and vision insurance
Paid time off and holidays
Retirement plan
401(k) with a 4% match
Vision insurance
Opportunities for professional development and career growth

About JUMO

JUMO is a global leader in sensor technology and automation solutions, helping businesses improve efficiency and make smarter, data-driven decisions.
You’ll join a small, hands-on local marketing team while being part of a large international organization, offering real ownership and global impact.

Why join JUMO

Real ownership in a small, agile team
Backed by a global organization
Cross-channel exposure with no silos
Opportunity to grow beyond a single specialization

Work environment

If you enjoy working at the intersection of technology, data, and real world applications, and want to contribute beyond a single marketing channel, you’ll fit in at JUMO.

Apply today

We’re excited to connect with candidates who are passionate about driving growth through data, experimentation, and continuous improvement.

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Growth Data Jobs

Machine Learning Engineer, Growth

Machine Learning Engineer, Growth

Growth Marketing Specialist (Paid Media, Social & Analytics)

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