Careers at DriveMetaData

Build the Growth Intelligence Infrastructure Modern Teams Run On

Join DriveMetaData to help marketing, product, analytics, finance, CRM, lifecycle, and data teams turn customer data, attribution, fraud quality, analytics, journeys, audiences, and revenue into one trusted AI-powered platform.

AI-native enterprise SaaS
Customer data and measurement infrastructure
High-ownership product teams
Category-defining growth intelligence platform
Talent Operating System for Growth Intelligence Builders showing candidate journey, team pods, product modules, open roles, AI infrastructure, and customer impact
Why DriveMetaData

Work on Problems That Sit at the Center of Growth

Growth teams are drowning in disconnected systems. DriveMetaData connects customer data, measurement, identity, fraud quality, analytics, journeys, activation, and revenue truth into one operating layer.

Conflicting campaign and finance numbers
Fragmented customer identity
Fraud polluted reporting
Analytics that never become action
Mission map showing fragmented growth systems connecting into the DriveMetaData platform and producing customer outcomes
What We Build

Build Infrastructure, Not Another Dashboard

Every module is a serious product surface that connects data quality, measurement, intelligence, activation, and customer outcomes.

Customer Data Platform

Unified first-party events, profiles, consent, and destinations.

Hard because
Identity, governance, profile quality, and destination readiness must work together.
Customer value
Customers get one foundation for growth decisions.
Teams involved
Engineering, Data, Product, Design

Measurement

Attribution, conversion tracking, ROAS, CAC, LTV, and revenue truth.

Hard because
Every platform claims credit differently, and finance needs one answer.
Customer value
Teams can move budget with confidence.
Teams involved
Product, Analytics, Engineering

Cross-Platform Measurement

Web, app, CRM, offline, and ad platform journeys.

Hard because
Customer journeys cross channels, devices, and delayed measurement signals.
Customer value
Growth teams see the full path to revenue.
Teams involved
Engineering, Data, Solutions

Mobile Attribution

Installs, re-engagement, SKAN, app events, and mobile revenue.

Hard because
Privacy-safe signals, postbacks, fraud, and app behavior must reconcile.
Customer value
Mobile teams optimize beyond installs.
Teams involved
Engineering, Product, Customer

Fraud Detection

Invalid traffic, fake leads, suspicious installs, and polluted reporting.

Hard because
Fraud signals must protect measurement, audiences, analytics, and journeys.
Customer value
Customers stop scaling low-quality growth.
Teams involved
AI, Data, Engineering

Identity Resolution

Anonymous, known, device, CRM, commerce, and offline identity stitching.

Hard because
Identity must be persistent, confidence-scored, and privacy-aware.
Customer value
Teams activate and measure real customers.
Teams involved
Data, Engineering, Security

Campaign Intelligence

Campaign, creative, audience, source, and budget intelligence.

Hard because
Performance has to connect to customer quality and revenue.
Customer value
Marketers know what deserves more spend.
Teams involved
Product, Design, GTM

Analytics

Funnels, cohorts, retention, journeys, product behavior, and revenue analytics.

Hard because
Analytics must be trustworthy enough for marketing, product, and finance.
Customer value
Insights become shared growth truth.
Teams involved
Analytics, Engineering, Product

Journey Builder

Lifecycle orchestration from trusted customer intelligence.

Hard because
Journeys must respond to real-time profiles, eligibility, and measurement.
Customer value
Customer action is connected to revenue outcomes.
Teams involved
Product, Design, Engineering

Segmentation & Activation

Governed audiences across ads, CRM, messaging, webhooks, and warehouses.

Hard because
Activation needs identity, consent, suppression, quality, and sync reliability.
Customer value
Insights turn into action without messy handoffs.
Teams involved
Engineering, Solutions, Customer

Data Pipelines

APIs, SDKs, webhooks, event streams, warehouses, and reporting exports.

Hard because
Growth data must stay fast, reliable, governed, and explainable.
Customer value
Customers can trust the infrastructure under every workflow.
Teams involved
Infrastructure, Data, Security
Who Thrives Here

Built for People Who Like Ownership, Clarity, and Hard Problems

The work rewards people who can think across systems, communicate tradeoffs clearly, and turn uncertain product problems into shipped customer value.

High agency

You notice gaps, make a plan, and move the work forward.

Clear communication

You make tradeoffs and status easy for others to understand.

Customer curiosity

You care why growth teams struggle, not only what they ask for.

Systems thinking

You see how identity, measurement, analytics, and activation interact.

Strong product taste

You want complex workflows to feel simple and trustworthy.

Technical depth

You can reason through data quality, latency, UX, and reliability.

Bias toward shipping

You prefer useful progress with evidence over endless polish cycles.

Comfort with ambiguity

You can shape unclear problems without losing rigor.

Respect for measurement

You use evidence to improve products and decisions.

Cross-functional range

You work well with engineering, product, GTM, data, and customers.

How We Work

Operating Principles for High-Quality Builders

These principles guide product decisions, customer conversations, technical tradeoffs, and how teams collaborate.

01

Own outcomes, not tasks

Start from the customer result and work backward to what must ship.

02

Build with customer truth

Use real workflows, evidence, and data quality to guide decisions.

03

Make complex systems understandable

Turn infrastructure complexity into clear product surfaces.

04

Move fast with evidence

Ship, measure, learn, and adjust without hiding uncertainty.

05

Raise the quality bar

Improve the code, interface, and operating system you touch.

06

Prefer clarity over theater

Write and speak plainly. Make decisions traceable.

07

Connect product to business impact

Know how product choices affect growth, finance, and retention.

08

Keep teams small and accountable

Use tight ownership boundaries and direct collaboration.

Teams

Join the Team Building the Platform

DriveMetaData needs technical, product, creative, customer, and commercial builders who can connect their craft to real customer outcomes.

Engineering

Build the systems behind real-time growth intelligence.

Example work
Event streaming, attribution logic, activation sync, APIs, and dashboard infrastructure.
Skills valued
TypeScript, distributed systems, reliability, product engineering.
Impact
Faster, cleaner customer decisions.

Product

Turn connected data infrastructure into workflows teams rely on.

Example work
Measurement, analytics, journey, audience, and AI recommendation roadmaps.
Skills valued
Customer discovery, prioritization, systems thinking, analytics.
Impact
Sharper product bets tied to revenue outcomes.

Design

Make complex growth systems feel clear, fast, and premium.

Example work
Dashboard UX, journey builders, audience builders, command surfaces.
Skills valued
Interaction design, visual systems, enterprise workflows.
Impact
Marketers and analysts trust the interface.

Data Science and AI

Create useful intelligence from trusted customer and campaign data.

Example work
Anomaly detection, LTV prediction, fraud scoring, recommendation systems.
Skills valued
Modeling, experimentation, data quality, product intuition.
Impact
Recommendations customers can act on.

Data Engineering

Model the data foundation behind every growth workflow.

Example work
Identity graphs, semantic metrics, event schemas, warehouse exports.
Skills valued
Pipelines, analytics stores, governance, data contracts.
Impact
One trusted customer and revenue layer.

Infrastructure

Keep the platform fast, secure, observable, and scalable.

Example work
Streaming scale, permissions, deployment quality, audit trails.
Skills valued
Reliability, cloud systems, security, observability.
Impact
Enterprise customers can depend on the platform.

Product Marketing

Define the category and make technical value easy to understand.

Example work
Platform narratives, launches, competitor positioning, sales enablement.
Skills valued
Messaging, research, storytelling, product fluency.
Impact
The market understands why connected growth intelligence matters.

Sales

Help enterprise teams solve disconnected growth infrastructure.

Example work
CMO, growth, finance, product, and data stakeholder conversations.
Skills valued
Discovery, business case building, enterprise sales.
Impact
Customers buy around measurable growth outcomes.

Customer Success

Turn implementation into durable customer value.

Example work
Adoption plans, KPI reviews, activation workflows, executive reporting.
Skills valued
Customer strategy, analytics, enablement, business outcomes.
Impact
Customers grow with confidence.

Solutions Architecture

Connect customer stacks to DriveMetaData workflows.

Example work
CDP setup, measurement plans, data pipelines, destination sync.
Skills valued
APIs, warehouses, marketing systems, technical consulting.
Impact
Complex deployments become clear and reliable.

Growth

Build the demand engine for a technical enterprise platform.

Example work
Use-case pages, lifecycle programs, conversion paths, campaign analytics.
Skills valued
Experimentation, analytics, messaging, channel strategy.
Impact
The right teams discover DriveMetaData faster.

Operations

Create the operating system for focused, high-quality work.

Example work
Hiring operations, planning rhythms, finance process, team systems.
Skills valued
Process design, communication, execution, judgment.
Impact
Teams scale without unnecessary friction.
Engineering and product culture

Ship Enterprise-Grade Systems With Product Craft

This is infrastructure work with a product surface. The bar is not only whether data moves, but whether customers can understand it, trust it, and act from it.

Real-time data systems
Event streaming
Identity graphs
Attribution logic
Fraud-quality scoring
Analytics interfaces
AI recommendation systems
Activation workflows
APIs, SDKs, webhooks, and warehouse sync
AI and data infrastructure showing data foundation, identity, measurement, fraud quality, AI recommendations, governance, and outcomes
AI and data infrastructure

Build AI on Trusted Customer, Campaign, and Revenue Data

AI recommendations are useful only when they are grounded in identity, measurement, fraud quality, analytics, and revenue truth. The work spans anomaly detection, prediction, recommendation, scoring, decisioning, and activation intelligence.

Anomaly detection
LTV and churn prediction
Source-quality scoring
Activation recommendations
Customer Impact

Help Teams Make Better Growth Decisions

The best work here changes how customers allocate spend, understand revenue, protect quality, and act on customer intelligence.

Reduce wasted spend
Improve Verified ROAS
Detect fraud
Unify customer profiles
Improve retention
Activate audiences
Automate journeys
Align marketing and finance
Speed executive reporting
Before

Teams debate disconnected dashboards and delayed exports.

DriveMetaData

Customer, campaign, fraud, journey, and revenue signals connect.

After

Teams decide faster with shared growth intelligence.

Career Growth

Grow With a Company Building a Category

Career growth here means owning more important problems, improving the system around you, and learning across product, data, customers, and go-to-market.

Builder path

Expand from feature ownership to whole product surfaces.

Technical leadership

Shape architecture, reliability, data quality, and engineering standards.

Product leadership

Define workflows that customers use to run growth decisions.

Customer-facing growth

Connect product depth to enterprise customer impact.

Hiring Process

A Clear Hiring Process

Candidates should know what is being evaluated, how to prepare, and what happens next.

1

Application review

We look for relevant work, problem ownership, and clarity of experience.

2

Intro conversation

A practical conversation about the role, company, and mutual fit.

3

Role-specific interview

Deep dive into your craft, judgment, and the problems you have solved.

4

Work sample or technical discussion

A focused exercise or discussion that mirrors real work.

5

Team collaboration conversation

Meet people you would work with and discuss how decisions happen.

6

Final leadership conversation

Align on scope, ownership, expectations, and growth path.

7

Offer

Clear compensation, role scope, start details, and next steps.

Open Roles

Find the Work You Want to Own

The roles below are structured so they can later connect to Ashby, Greenhouse, Lever, Workable, or a custom CMS without changing the page model.

EngineeringRemoteFull-time

Senior Product Engineer, Growth Intelligence

Build premium interfaces for analytics, audiences, journeys, and AI recommendations.

Apply for role
Data and AIHybridFull-time

Data Infrastructure Engineer

Own event models, identity graphs, analytics stores, and warehouse sync reliability.

Apply for role
Data and AIRemoteFull-time

ML Engineer, Growth Recommendations

Build anomaly detection, scoring, prediction, and recommendation systems.

Apply for role
DesignRemoteFull-time

Product Designer, Enterprise Workflows

Design clear workflows for measurement, activation, journeys, and dashboards.

Apply for role
ProductHybridFull-time

Product Manager, Measurement and Analytics

Shape attribution, CAC, ROAS, retention, and revenue intelligence workflows.

Apply for role
SolutionsRemoteFull-time

Solutions Architect, Customer Data and Activation

Connect enterprise customer stacks to DriveMetaData data and activation workflows.

Apply for role
MarketingRemoteFull-time

Product Marketing Manager, Growth Intelligence

Turn connected infrastructure into sharp positioning, launches, and enablement.

Apply for role
SalesHybridFull-time

Enterprise Account Executive

Help enterprise growth teams solve disconnected measurement and activation systems.

Apply for role
Customer SuccessRemoteFull-time

Customer Success Manager, Enterprise

Drive adoption, executive reporting, activation workflows, and measurable value.

Apply for role
Benefits

Benefits Designed for Focused, High-Quality Work

The benefits should support serious work, sustainable pace, and practical career growth without inflated promises.

Competitive compensation
Meaningful ownership
Flexible work model
High-quality equipment
Learning budget
Health and wellness support
Team offsites
Focused work culture
Clear growth paths
Build with us

Help Build the Intelligence Layer for Modern Growth Teams

DriveMetaData is building the connected platform for customer data, measurement, identity, fraud quality, analytics, journeys, activation, and revenue truth. If that sounds like the kind of hard problem you want to own, we should talk.