Growth

Growth Engineer Jobs

3 jobs found

2d ago

Machine Learning Engineer, Growth

Whatnot Seattle, WA 🇺🇸 Remote

Seattle, WA

2d ago

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

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Job Description

Join Whatnot’s Buyer Growth team and help drive measurable improvements in buyer onboarding and first-time conversion. This role focuses on building and owning machine learning models for personalization across acquisition and engagement channels, with end-to-end responsibility from data to production and experimentation.

What you’ll do

Design, develop, and productionize ML models that support user acquisition, activation, and retention, including ranking models, targeting systems, and uplift modeling.
Own the full ML lifecycle: build and maintain data pipelines, feature engineering workflows, model training, deployment, and online experimentation.
Create and maintain feedback loops using postbacks, conversions, and downstream revenue signals to continuously improve model performance.
Find and prioritize high-impact growth opportunities for machine learning, partnering with product, engineering, data, and marketing stakeholders.
Lead technical excellence by establishing ML best practices across the Buyer Growth team.

What you bring

5+ years of industry experience building and deploying ML systems at scale.
Proven ability to lead end-to-end ML projects and deliver measurable business outcomes.
Deep expertise in personalization, ranking, or user modeling, with strong intuition for user behavior in consumer products.
Advanced proficiency in Python and SQL, plus common ML frameworks such as PyTorch, TensorFlow, and XGBoost.
Strong communication and leadership skills, with experience influencing roadmaps and aligning cross-functional teams.
Preferred: experience building ML applications in E-commerce or Social products.
Preferred: experience in growth domains such as user segmentation, retention modeling, large-scale recommendation systems, and notification ranking.

Tech stack

Python, SQL, PyTorch, TensorFlow, XGBoost

What Whatnot offers

Flexible Time Off policy and company-wide holidays, including spring and winter break.
Health Insurance options: Medical, Dental, Vision.
Work From Home support plus home office setup allowance.
Monthly allowances for cell phone and internet, and a wellness allowance.
Care benefits and an annual allowance toward 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 of gradual return to work.

Location: Seattle, WA (remote)
Compensation Range: $190K - $280K per year
EOE

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7d ago

Machine Learning Engineer, Growth

Whatnot Los Angeles, CA 🇺🇸 Remote

Los Angeles, CA

7d ago

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

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Job Description

Machine Learning Engineer on Whatnot's Buyer Growth team, building and owning ML models for onboarding and user targeting to accelerate buyer growth and improve first-time conversions.

Responsibilities

Lead the design, development, and productionization of ML models that power user acquisition, activation, and retention, including ranking models, targeting systems, and uplift modeling.
Own the full ML lifecycle: build data pipelines, feature engineering, model training, deployment, and online experimentation; establish feedback loops from postbacks, conversions, and downstream revenue signals.
Identify high-impact opportunities to unlock growth with ML, 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 success leading end-to-end ML projects that delivered measurable business outcomes.
Deep expertise in personalization, ranking, or user modeling; strong intuition about consumer behavior in apps.
Advanced proficiency in Python, SQL, and common ML frameworks (PyTorch, TensorFlow, XGBoost).
Strong communication and leadership skills with the ability to influence roadmap and align cross-functional teams.

Technologies

Python
SQL
PyTorch
TensorFlow
XGBoost

Details

Location: Los Angeles, CA (remote)
Salary: USD 190,000 - 280,000 per year
Experience: 5+ years

Benefits

Flexible Time off Policy and Company-wide Holidays (including spring and winter breaks)
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 with Traditional and Roth accounts in the US (employer match up to 4%) and Pension plans internationally
Monthly allowance to dogfood the app
Parental Leave: 16 weeks paid, plus one month gradual return to work; leave allowances align with local requirements

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30d ago

Growth Team - Software Engineer (Mid-Level)

Sprinter Health San Francisco, CA

San Francisco, CA

30d ago Closed

$165k - $205k/yr Full time Growth Mid Software

This position is no longer accepting applications (closed Aug 9, 2026).

Job Description

Growth Engineer for the Growth Team at Sprinter Health, San Francisco, CA (hybrid)

Responsibilities

Design and ship experiments to drive patient bookings, including message copy tests, outreach timing, and new in product booking flows
Improve multi channel engagement across SMS, phone, email, and mail to reach patients who typically do not schedule care
Lead rapid brainstorming and sizing exercises to prioritize the next growth bets
Define and monitor funnel metrics to track drop-off, activation, and conversion
Share insights through clear reporting and experiment reviews with cross functional partners
Test unconventional tactics like door knocking pilots and simulate outreach volume against clinical supply and demand

Requirements

2+ years as a software engineer, including 1–2 years on a growth or experimentation focused team
Mentored earlier career engineers and held pod level ownership on projects
Built and iterated on backend systems powering experimentation, messaging, funnels, or activation flows
Shipped and measured experiments that moved core metrics such as activation, conversion, retention, or bookings
Used data to identify drop offs, size opportunities, and prioritize what to build next
Collaborated with product, design, data, or operations to turn insights into shipped features
Balanced speed and impact in a startup or high growth environment

Technologies

Typescript, Python
AWS Amplify stack (AppSync, DynamoDB, Lambda, CloudFormation)
BigQuery, OpenSearch / Elasticsearch, Looker, Kibana, Statsig
GraphQL, Node.js, React Native, React Native for Web

Benefits

Meaningful pre-IPO equity
Medical, dental, and vision plans 100% paid for you and your dependents
Flexible PTO plus 10 paid holidays per year
401(k) with match
Parental leave of 16 weeks for birthing parents and 8 weeks for other parents
HSA and FSA contributions
Life insurance plus short and long term disability coverage
Free daily lunch in office
Annual learning stipend

About Sprinter Health

Sprinter Health reimagines access to care by delivering services directly to patients’ homes. About 30 percent of US patients skip preventive or chronic care due to access barriers, and emergency room visits often become the initial contact, contributing to high costs. By applying technology used by leading marketplaces and last mile platforms, Sprinter Health brings care where it is needed most. The company has supported over 2 million patients across 22 states, completed more than 130,000 in home visits, and maintains a 92 NPS. The team has raised over $125 million from investors including a16z, General Catalyst, GV, and Accel, with multi year runway.

Hybrid & Office Experience

Hybrid schedule: in office Monday through Thursday, Fridays work from anywhere
Strong emphasis on work life balance and collaboration during core in office days
Daily lunch provided with an hour for the team to eat together

What Have You Done

2+ years as a software engineer, including 1–2 years on a growth or experimentation focused team
Mentored junior engineers and held pod level ownership on projects
Built and iterated on backend systems powering experimentation, messaging, funnels, or activation flows
Shipped and measured experiments that moved metrics like activation, conversion, retention, or bookings
Used data to identify drop offs, size opportunities, and prioritize what to build next
Collaborated with product, design, data, or ops to turn insights into shipped features
Balanced speed and impact in a startup or high growth environment

What Gives You an Edge

Experience shipping experiments that directly moved activation, conversion, or booking metrics
Comfort owning the full loop from sizing to launch and measurement
Background building products where growth is driven through the product itself, not just outbound channels
Fast, data driven, lightweight experiments and scrappy tooling
Experience operating in high ambiguity or product led growth environments without ready made playbooks

The Interview Process

Timeline of 2 to 3 weeks
Recruiter Screen, 30 minutes
Technical Assessment, 45 minutes
Hiring Manager Introduction, 30 minutes
Onsite: Growth focused systems design, behavioral interview, and team lunch (3 hours)
References

Compensation Range

USD 165,000 to 205,000 per year

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