Google Tag Manager (GTM)

tag management, marketing, web analytics

Open jobs

1413

Companies looking for GTM

1335

Back in the day, deploying tracking pixels meant endless developer sprints and a constant fear of breaking something vital. Then came Google Tag Manager, promising a marketer’s utopia – a place where you could sprinkle tracking codes like fairy dust without bothering the engineers. Quite clever, really, though one does wonder if it hasn’t just shifted the burden of complexity from one team to another.

In practice, GTM is a powerful container, yes, but mastering it requires a surprising amount of technical skill. It's become the de facto standard for web analytics implementation, largely because, well, it’s free and integrates seamlessly with the rest of the Google Marketing Platform. Alternatives exist, of course—Adobe Launch, Tealium—but they often come with a hefty price tag. Today, if you’re a serious digital marketer, you’re almost certainly wrestling with variables, triggers, and layers within GTM. The promise of simplicity remains elusive, but it’s undeniably become the least-bad option for managing the ever-growing chaos of digital tracking.

Used together with GTM

Jobs (this month)

1413

Companies with Jobs

1335

Jobs in

All cities

Amsterdam

San Francisco

London

Paris

New York

Berlin

Copenhagen

Singapore

Tokyo

Sydney

Madrid

Rio De Janeiro

using Google Tag Manager (GTM) for

All job types

Analytics Engineers

Data Engineers

Analysts

Data Scientists

Machine Learning Engineers

Others

but please no

Agile/Scrum

JIRA

Activity Schema

Adobe Analytics

Agile/Scrum

Artificial Intelligence/Machine Learning

Airbyte

Apache Airflow

Alation

Alteryx

Amplitude

Analytics

Analytics Engineering

Ansible

Apache Flink

Application Programming Interface (API)

AppDynamics

Redpanda

Webhooks

Argo CD

Apache Arrow

Astronomer

Amazon Athena

Apache Avro

Amazon Web Services (AWS)

Amazon Aurora

AWS CloudFormation

Amazon CloudWatch

Amazon EC2

Amazon EMR

AWS Glue

Amazon Kinesis

AWS Lambda

Amazon RDS

Microsoft Azure

Azure Data Factory

Azure DevOps

Bash

Apache Beam

Business Intelligence (BI)

Big Data

BigEye

Google BigQuery

Blendo

Blockchain

C

C#/.NET

Apache Cassandra

Cyber Security

Certified Cloud Security Professional (CCSP)

Certified Information Systems Security Professional (CISSP)

FinOps

Customer Data Platform (CDP)

Chef

Chroma

Continuous Integration/Continuous Delivery (CI/CD)

Circle CI

ClickHouse

Cloud Computing

Cloud Storage

Cloudflare

Azure Cosmos DB

Collibra

IBM Cognos

Computer Science

Confluence

C++

Customer Relationship Management (CRM)

Comma-Separated Values (CSV)

Cypress

Dagster

Dashboard

Data Analytics

Data Contracts

Data Engineering

Data Governance

Data Lake

Data Lakehouse

Data Management

Data Modelling

Data Quality

Data Science

Data Vault

Data Visualization

Databricks

Datacoral

Datadog

Google Cloud Dataflow

Datafold

Google Dataform

Dataiku

DataOps

Google Cloud Dataproc

Data Analysis Expressions (DAX)

dbt (data build tool)

Delta Lake

DevOps

Docker

Dremio

DuckDB

Data Warehouse

DynamoDB

Dynatrace

Elasticsearch/ELK Stack

Enterprise Resource Planning (ERP)

ETL/ELT

Ethereum

Binance

Non-Fungible Tokens (NFT)

Geographic Information System (GIS)

Decentralized Finance (DeFi)

Smart Contracts

Chainalysis

Web3

Microsoft Excel

Feather

Fivetran

Funnel

Google Cloud Platform (GCP)

GDPR/CCPA

Generative AI

Git

GitHub

GitLab

Go

Google Analytics

Google Cloud Composer

Google Cloud Data Fusion

Google Cloud Functions

Google Cloud Run

Google Sheets

Grafana

Google Tag Manager (GTM)

Apache Hadoop

Apache HBase

Hierarchical Data Format

Hadoop Distributed File System (HDFS)

Heap Analytics

Hevo Data

Apache Hive

HyperText Markup Language (HTML)

Hubspot

Hyper-V

IBM

Apache Iceberg

Informatica

Data Collection

Internet of Things (IoT)

Java

JavaScript

Jenkins

Jira

JavaScript Object Notation (JSON)

JSON Schema

Apache Kafka

Keras

Kibana

(Kimball) Dimensional Modeling

Kissmetrics

Key Performance Indicator (KPI)

Kubernetes

Linux

Large Language Models (LLM)

Logstash

Looker

Looker Studio

Luigi

Management

MariaDB

Marketing

Marketing Mix Modeling (MMM)

Master Data Management

Masthead Data

Matillion

MATLAB

Matomo

Matplotlib

Modern Data Stack

Meltano

Mendix

Metabase

Microsoft

Microsoft Fabric

Mixpanel

MLOps

Mode Analytics

MongoDB

Monte Carlo

MySQL

IBM Netezza

Neo4j

New Relic

Natural Language Processing (NLP)

NoSQL

NumPy

Opsgenie

Oracle

Optimized Row Columnar (ORC)

PagerDuty

Pandas

Apache Parquet

Pendo

Doctor of Philosophy (PhD)

Pinecone

Piwik PRO

Plausible Analytics

Playwright

Plotly

Polars

PostgreSQL

Microsoft Power BI

Microsoft PowerPoint

PowerShell

Prefect

Presto

Process Mining

Prometheus

Protocol Buffers

Pub/Sub

Pulumi

Puppet

Puppeteer

Pydantic

PySpark

Python

PyTorch

Qlik

Amazon QuickSight

R (Language)

Retrieval Augmented Generation (RAG)

Relational Database Management System (RDBMS)

React

Redash

Redis

Amazon Redshift

Recurrent Neural Networks

Rust

Amazon S3

Software as a Service (SaaS)

Amazon SageMaker

SAP

SAS

Scala

Scikit-learn

SciPy

Seaborn

Twilio Segment

Selenium

Singer

Sisense

Snowflake

Snowplow

Apache Spark

Splunk

SPSS

Structured Query Language (SQL)

SQLMesh

SQLFluff

SQLFmt

Microsoft SQL Server

SQL Server Analysis Services (SSAS)

SQL Server Integration Services (SSIS)

SQL Server Reporting Services

Stitch

Data Streaming

Supermetrics

Apache Superset

Azure Synapse Analytics

TIBCO Spotfire

Tableau

Talend

TensorFlow

Teradata

Bicep

Infrastructure as Code (IaC)

Azure Resource Manager (ARM)

Terraform

Terragrunt

Third Normal Form (3NF)

TOML

Trifacta

Apache Trino

Apache Druid

TypeScript

Unix

Visual Basic for Applications (VBA)

Vector DB

Vertica

VirtualBox

Virtual Machine

VMware

Microsoft Word

Extensible Markup Language (XML)

Xplenty

Yet Another Markup Language (YAML)

Motherduck

PostHog

Kestra

Omni Analytics

Thoughtspot

Lightdash

Hudi

Open Table Format (OTF)

Lance

data scientist Sr. Worldwide Specialist – GenAI/ML, Data & AI GTM @ amazon-web-services US \| 2025-12-28 This role is a high-stakes, multi-faceted position at AWS, centered on GenAI model development and GTM strategy. It requires a blend of technical depth, business acumen, and cross-functional... read more »	Go, GTM, AWS, GenAI, Cloud Computing, AI/ML, C, Marketing, Management	Sr. Worldwide Specialist – GenAI/ML, Data & AI GTM amazon-web-services (US) FULL TIME \| JOB LISTED This role is a high-stakes, multi-faceted position at AWS, centered on GenAI model development and GTM strategy. It requires a blend of technical depth, business acumen, and cross-functional collaboration. The candidate must navigate complex cloud ecosystems, partner with external vendors, and drive innovation in edge computing. The job demands a deep understanding of AI/ML, cloud infrastructure, and market dynamics, with a focus on practical, scalable solutions. While the role is ambitious and technically demanding, it lacks clarity on specific tools or technologies, and the salary range is not explicitly provided. The position is not an intermediary role, and the job type is unspecified. The tools and technologies mentioned include GenAI model development, edge computing, cloud services, and partnerships with model providers. Generated content Technology used Go GTM AWS GenAI Cloud Computing AI/ML C Marketing Management Listed At 2025-12-28 2025-04-14 (original listing) Similar Jobs Loading... Permalink View original posting
data scientist Sr. Worldwide Specialist – GenAI/ML, Data & AI GTM @ amazon-web-services US \| 2025-12-27 \| USD 133200 - 220200 / year This role is a high-stakes, high-impact position at AWS, requiring deep technical expertise in GenAI, edge computing, and cloud solutions. The candidate must bridge the gap between business... read more »	Go, GTM, AWS, GenAI, Cloud Computing, AI/ML, C, Marketing, Management	Sr. Worldwide Specialist – GenAI/ML, Data & AI GTM amazon-web-services (US) FULL TIME \| JOB LISTED This role is a high-stakes, high-impact position at AWS, requiring deep technical expertise in GenAI, edge computing, and cloud solutions. The candidate must bridge the gap between business development and technical execution, driving innovation across industries. The job demands a blend of domain knowledge, cross-functional collaboration, and strategic thinking, with a focus on market growth and ecosystem integration. It is an intermediary role, with a salary range of $133,200–$220,200/year, depending on location. Key tools include AWS Lambda, SageMaker, Polly, and custom edge deployment frameworks. The role stands out for its focus on real-world application and market leadership, but may lack clear metrics for success and risk of overestimating technical complexity. Generated content Technology used Go GTM AWS GenAI Cloud Computing AI/ML C Marketing Management Listed At 2025-12-27 2025-04-14 (original listing) Similar Jobs Loading... Permalink View original posting
promoted O'Reilly: Building AI Agents with Model Context Protocol (MCP) Design and implement composable agent architectures using MCP. Understand the MCP architecture and how it enables AI applications to access external context. Build MCP servers that expose tools, resources, and prompts to LLMs.	Get Started
data scientist Director of Product Management, Enterprise AI and Analytics @ purestorage US \| 2025-12-27 \| USD 291000 - 437000 / year Pure Storage seeks a Director of Product Management, Enterprise AI and Analytics, to define strategy for high‑performance, data‑centric architectures across FlashArray, FlashBlade and Pure Fusion... read more »	Management, AI/ML, Analytics, Data Analytics, Cloud Computing, GTM, Marketing, KPI	Director of Product Management, Enterprise AI and Analytics purestorage (US) FULL TIME \| JOB LISTED Pure Storage seeks a Director of Product Management, Enterprise AI and Analytics, to define strategy for high‑performance, data‑centric architectures across FlashArray, FlashBlade and Pure Fusion and to own the vision for AI/analytics infrastructure from ingestion to inference. It’s a heavyweight, strategy‑driven role with cross‑functional GTM leverage, KPI ownership, and a duty to translate market needs into actionable product roadmaps. The tech focus is earnest—GPU‑accelerated storage, large‑scale data pipelines, integration with AI frameworks and HPC environments—but the risk is buzzwords over execution if the market moves faster than the roadmap. Competitive pressure is real: VAST, DDN, Weka, EMC, NetApp, HPE are mentioned, meaning differentiation must be tangible. In‑office Santa Clara helps with collaboration, and the pay range ($291k–$437k) is strong for the lane, provided the actual delivery matches the hype. Generated content Technology used Management AI/ML Analytics Data Analytics Cloud Computing GTM Marketing KPI Listed At 2025-12-27 2025-10-02 (original listing) Permalink View original posting
data scientist Product Manager @ freed-ai US \| 2025-12-27 \| USD 170000 - 200000 / year Freed markets itself as a clinician-first AI startup tackling admin overload with an AI scribe and a rapid product slate. This PM role expects 5+ years shipping features in fast cycles,... read more »	AI/ML, Analytics, GTM	Product Manager freed-ai (US) FULL TIME \| JOB LISTED Freed markets itself as a clinician-first AI startup tackling admin overload with an AI scribe and a rapid product slate. This PM role expects 5+ years shipping features in fast cycles, translating clinician needs into simple, practical workflows and tying data insights to priorities. You’ll own the end-to-end lifecycle and partner with engineering, design, and analytics to ship AI-enabled improvements from discovery to rollout. The upside is tangible: real impact on daily practice, solid equity in a well-backed company, and a San Francisco–area hybrid setup. The caveats are real too: healthcare is high-stakes, regulatory and governance hurdles complicate data use, and the market for product talent is brutal. Expect intense collaboration and high expectations as the company scales; compensation sits at $170k–$200k annually. Generated content Technology used AI/ML Analytics GTM Listed At 2025-12-27 2025-10-22 (original listing) Permalink View original posting
data scientist Sr. Staff Marketing Data Scientist @ quizlet US \| 2025-12-26 \| USD 225000 - 305000 / year Quizlet’s senior data/analytics engineering role centers on MMM and cross‑channel incrementality, stitching AppsFlyer/MA MMPs, ad-platform feeds, GA4/GTM, and internal events into an always-on... read more »	AI/ML, Data Science, Marketing, MMM, Stitch, Analytics, API, Google Analytics, GTM, Data Quality, SQL, Python, R, Pandas, NumPy, BigQuery, Snowflake, Redshift, dbt, Airflow, Dagster, CI/CD, Cloud Computing, GenAI	Sr. Staff Marketing Data Scientist quizlet (US) FULL TIME \| JOB LISTED Quizlet’s senior data/analytics engineering role centers on MMM and cross‑channel incrementality, stitching AppsFlyer/MA MMPs, ad-platform feeds, GA4/GTM, and internal events into an always-on measurement engine that informs budgets and targeting. You’ll design holdouts, synthetic controls, CUPED and diff-in-diff, run power analyses, and translate outputs into marginal-dollar recommendations by channel and geography. It’s hands‑on, end‑to‑end: data wrangling across multiparty data, calibrating MMM against experiments, and owning vendor relationships or in‑house models. The on‑site SF requirement (minimum three days) trades remote flexibility for collaboration currency, a loud signal in a crowded analytics market. What stands out is the mandate to move spend decisions with model rigor; what’s risky is vendor lock‑in, data fragmentation, and a heavy emphasis on executive-facing dashboards rather than mentoring juniors. Generated content Technology used AI/ML Data Science Marketing MMM Stitch Analytics API Google Analytics GTM Data Quality SQL Python R Pandas NumPy BigQuery Snowflake Redshift dbt Airflow Dagster CI/CD Cloud Computing GenAI Listed At 2025-12-26 2025-11-08 (original listing) Similar Jobs Loading... Permalink View original posting
data scientist Staff Data Scientist @ evenup US \| 2025-12-26 \| USD 174000 - 275000 / year EvenUp’s Staff Data Scientist role sits at the awkward crossroads of economics and product, with hard ownership of analytics that actually moves pricing and monetization. It promises clear impact... read more »	AI/ML, SaaS, Data Science, Funnel, Analytics, KPI, Data Engineering, Python, R, SQL, GTM, PhD, BI, Looker, Tableau	Staff Data Scientist evenup (US) FULL TIME \| JOB LISTED EvenUp’s Staff Data Scientist role sits at the awkward crossroads of economics and product, with hard ownership of analytics that actually moves pricing and monetization. It promises clear impact through funnel analysis, causal inference, and experimentation, while partnering with Product, Engineering, Ops, and executives to define KPIs and forecast ARR, churn, and usage. The tech expectations are solid but not exotic: Python or R, SQL, strong statistical modelling (time-series, survival, Bayesian), plus Looker or Tableau for storytelling and Optimizely for experimentation. The pitfalls are real: it’s a high-seniority IC job in a fast-growth SaaS/legal niche, demanding robust data instrumentation and governance in an observational world, and the hybrid SF/Toronto requirement may limit applicant pools. The compensation range ($174k-$275k USD) is competitive for senior data science in North America, but the role’s true market differentiator is its explicit focus on monetization strategy in an ethically charged domain. Generated content Technology used AI/ML SaaS Data Science Funnel Analytics KPI Data Engineering Python R SQL GTM PhD BI Looker Tableau Listed At 2025-12-26 2025-10-22 (original listing) Similar Jobs Loading... Permalink View original posting
promoted Masthead Data Masthead is a data reliability platform built for Google Cloud, focused on detecting anomalies and ensuring smooth data pipeline operations. It offers real-time notifications for data issues and pipeline errors without direct access to your sensitive data.	Learn More
data scientist Data Science Engineer @ adobe US \| 2025-12-26 \| USD 128600 - 234200 / year Adobe’s Digital Media B2B Data Science team seeks a Data Scientist to model segmentation, churn, and customer journeys, partnering with product, strategy, and GTM to lift LTV. The role demands... read more »	Data Science, Analytics, GTM, AI/ML, Hadoop, Hive, Spark, SQL, DataViz, Power BI, Python, R, Agile/Scrum, Management	Data Science Engineer adobe (US) FULL TIME \| JOB LISTED Adobe’s Digital Media B2B Data Science team seeks a Data Scientist to model segmentation, churn, and customer journeys, partnering with product, strategy, and GTM to lift LTV. The role demands hands-on data extraction, distributed computing (Hadoop, Hive, Spark), SQL fluency, and strong Python or R for ML spanning classification, regression, time-series, clustering, and propensity modeling, plus dashboarding in Power BI or Tableau. It promises real business impact and cross-functional visibility, but the stack and multi-team dependencies can slow momentum. The explicit pay range ($128,600 -- $234,200 USD annually) is a plus in a market where titles outpace clarity, though location still matters and incentives for non-sales roles are vaguely described. Overall: solid, stack-credible, with the usual Adobe complexity and a heavy emphasis on practical outcomes over buzzwords. Generated content Technology used Data Science Analytics GTM AI/ML Hadoop Hive Spark SQL DataViz Power BI Python R Agile/Scrum Management Listed At 2025-12-26 2025-10-02 (original listing) Permalink View original posting
data scientist Global Business Insights & Automation Lead @ openai US \| 2025-12-25 \| USD 255000 - 405000 / year OpenAI's Global Business Insights & Automation Lead promises a rare mix: hands-on analytics, KPI architecture, and executive storytelling, all in one captain's chair. The role combines data... read more »	Management, LLM, GTM, Analytics, KPI, Data Science, PhD, Computer Science, SQL, Python, BI, Tableau, Go, AI/ML, Cyber Security	Global Business Insights & Automation Lead openai (US) FULL TIME \| JOB LISTED OpenAI's Global Business Insights & Automation Lead promises a rare mix: hands-on analytics, KPI architecture, and executive storytelling, all in one captain's chair. The role combines data science rigor with strategic finance and cross-functional persuasion, leading a small team to design global insight systems, automate recurring analytics, and surface real-time performance drivers. Expect heavy emphasis on SQL, Python, Tableau, and scalable data products—dashboards, pacing models, variance analyzers, and agentic workflows—operating across products and regions. The job skews toward leadership and mentorship as much as code, with Finance, GTM, Product, and Engineering collaboration at its core. What stands out in the market is the seniority and compensation for an analytics-first role that still delivers end-to-end pipelines. The caveat: the expectations are lofty, the internal tools opaque, and success rests on executive storytelling as much as model quality. Generated content Technology used Management LLM GTM Analytics KPI Data Science PhD Computer Science SQL Python BI Tableau Go AI/ML Cyber Security Listed At 2025-12-25 2025-10-22 (original listing) Permalink View original posting
data scientist Product Operations Lead @ gleanwork US \| 2025-12-24 \| USD 198000 - 235000 / year Glean seeks a Product Operations Lead to streamline its high-growth SaaS product organization, with a focus on AI-driven process automation and data insights, a differentiator in its commitment to... read more »	AI/ML, SaaS, API, Microsoft, GitHub, Management, Go, GTM, R, Marketing, Jira, Dashboard, Computer Science, Analytics, SQL	Product Operations Lead gleanwork (US) FULL TIME \| JOB LISTED Glean seeks a Product Operations Lead to streamline its high-growth SaaS product organization, with a focus on AI-driven process automation and data insights, a differentiator in its commitment to AI-first thinking. The role involves cross-functional collaboration and managing ambiguity, but there's a risk of over-reliance on AI for decision-making. Salary ranges from $198,000 to $235,000, with benefits and variable compensation possible. Generated content Technology used AI/ML SaaS API Microsoft GitHub Management Go GTM R Marketing Jira Dashboard Computer Science Analytics SQL Listed At 2025-12-24 2025-10-21 (original listing) Similar Jobs Loading... Permalink View original posting
data scientist Senior Manager, Integrated Campaigns (AI/SaaS Tech, B2B) @ obsidiansecurity US \| 2025-12-24 \| USD 149000 - 185000 / year Obsidian Security's Senior Manager, Integrated Campaigns places you at the funnel's heart of a fast-growing SaaS security vendor. You own strategy and end-to-end execution across email, webinars,... read more »	SaaS, Microsoft, AI/ML, Snowflake, Databricks, GCP, GTM, Funnel, Marketing, Cloud Computing, KPI, Analytics, Management, DataViz, BI, Power BI, Looker	Senior Manager, Integrated Campaigns (AI/SaaS Tech, B2B) obsidiansecurity (US) FULL TIME \| JOB LISTED Obsidian Security's Senior Manager, Integrated Campaigns places you at the funnel's heart of a fast-growing SaaS security vendor. You own strategy and end-to-end execution across email, webinars, digital, and partner programs, tying persona-led journeys to intent signals and ABM plays that actually move the pipeline. Expect heavy use of Marketo and SFDC, with ABM platforms, and data from ZoomInfo, G2, and LinkedIn guiding targeting and content. The role demands 6-10+ years in B2B campaigns, a strong grip on KPIs, attribution, A/B testing, and the ability to translate technical product language into buyer messages. Obsidian's enterprise claims, global footprint, and partner ecosystem (Google Cloud, Databricks) matter, though IPO readiness and vendor complexity will test your ability to deliver scalable playbooks and measurable ROI. Generated content Technology used SaaS Microsoft AI/ML Snowflake Databricks GCP GTM Funnel Marketing Cloud Computing KPI Analytics Management DataViz BI Power BI Looker Listed At 2025-12-24 2025-11-10 (original listing) Permalink View original posting
data scientist Product Marketing Manager, AI Solutions @ navan US \| 2025-12-24 \| USD 105000 - 198000 / year This role seeks a strategic Product Marketing Manager to drive AI product positioning and go-to-market planning. The candidate must demonstrate deep AI expertise, cross-functional collaboration,... read more »	Marketing, AI/ML, GTM, Go, Management, SaaS, Analytics	Product Marketing Manager, AI Solutions navan (US) FULL TIME \| JOB LISTED This role seeks a strategic Product Marketing Manager to drive AI product positioning and go-to-market planning. The candidate must demonstrate deep AI expertise, cross-functional collaboration, and data-driven storytelling. While the opportunity aligns with the company's innovation goals, the emphasis on AI and the need for global collaboration may not fully resonate with traditional data engineering professionals. The compensation range is broad, but the role lacks specific technical details and does not clearly define the tools or frameworks required. The opportunity stands out for its focus on AI and market strategy, but lacks specificity in technical skill requirements and does not highlight the data engineering aspects that would be relevant to a data engineer. Generated content Technology used Marketing AI/ML GTM Go Management SaaS Analytics Listed At 2025-12-24 2025-08-05 (original listing) Similar Jobs Loading... Permalink View original posting

data scientist Sr. Worldwide Specialist – GenAI/ML, Data & AI GTM @ amazon-web-services US \| 2025-12-28 This role is a high-stakes, multi-faceted position at AWS, centered on GenAI model development and GTM strategy. It requires a blend of technical depth, business acumen, and cross-functional... read more »	Go, GTM, AWS, GenAI, Cloud Computing, AI/ML, C, Marketing, Management	Sr. Worldwide Specialist – GenAI/ML, Data & AI GTM amazon-web-services (US) FULL TIME \| JOB LISTED This role is a high-stakes, multi-faceted position at AWS, centered on GenAI model development and GTM strategy. It requires a blend of technical depth, business acumen, and cross-functional collaboration. The candidate must navigate complex cloud ecosystems, partner with external vendors, and drive innovation in edge computing. The job demands a deep understanding of AI/ML, cloud infrastructure, and market dynamics, with a focus on practical, scalable solutions. While the role is ambitious and technically demanding, it lacks clarity on specific tools or technologies, and the salary range is not explicitly provided. The position is not an intermediary role, and the job type is unspecified. The tools and technologies mentioned include GenAI model development, edge computing, cloud services, and partnerships with model providers. Generated content Technology used Go GTM AWS GenAI Cloud Computing AI/ML C Marketing Management Listed At 2025-12-28 2025-04-14 (original listing) Similar Jobs Loading... Permalink View original posting
data scientist Sr. Worldwide Specialist – GenAI/ML, Data & AI GTM @ amazon-web-services US \| 2025-12-27 \| USD 133200 - 220200 / year This role is a high-stakes, high-impact position at AWS, requiring deep technical expertise in GenAI, edge computing, and cloud solutions. The candidate must bridge the gap between business... read more »	Go, GTM, AWS, GenAI, Cloud Computing, AI/ML, C, Marketing, Management	Sr. Worldwide Specialist – GenAI/ML, Data & AI GTM amazon-web-services (US) FULL TIME \| JOB LISTED This role is a high-stakes, high-impact position at AWS, requiring deep technical expertise in GenAI, edge computing, and cloud solutions. The candidate must bridge the gap between business development and technical execution, driving innovation across industries. The job demands a blend of domain knowledge, cross-functional collaboration, and strategic thinking, with a focus on market growth and ecosystem integration. It is an intermediary role, with a salary range of $133,200–$220,200/year, depending on location. Key tools include AWS Lambda, SageMaker, Polly, and custom edge deployment frameworks. The role stands out for its focus on real-world application and market leadership, but may lack clear metrics for success and risk of overestimating technical complexity. Generated content Technology used Go GTM AWS GenAI Cloud Computing AI/ML C Marketing Management Listed At 2025-12-27 2025-04-14 (original listing) Similar Jobs Loading... Permalink View original posting
promoted O'Reilly: Building AI Agents with Model Context Protocol (MCP) Design and implement composable agent architectures using MCP. Understand the MCP architecture and how it enables AI applications to access external context. Build MCP servers that expose tools, resources, and prompts to LLMs.	Get Started
data scientist Director of Product Management, Enterprise AI and Analytics @ purestorage US \| 2025-12-27 \| USD 291000 - 437000 / year Pure Storage seeks a Director of Product Management, Enterprise AI and Analytics, to define strategy for high‑performance, data‑centric architectures across FlashArray, FlashBlade and Pure Fusion... read more »	Management, AI/ML, Analytics, Data Analytics, Cloud Computing, GTM, Marketing, KPI	Director of Product Management, Enterprise AI and Analytics purestorage (US) FULL TIME \| JOB LISTED Pure Storage seeks a Director of Product Management, Enterprise AI and Analytics, to define strategy for high‑performance, data‑centric architectures across FlashArray, FlashBlade and Pure Fusion and to own the vision for AI/analytics infrastructure from ingestion to inference. It’s a heavyweight, strategy‑driven role with cross‑functional GTM leverage, KPI ownership, and a duty to translate market needs into actionable product roadmaps. The tech focus is earnest—GPU‑accelerated storage, large‑scale data pipelines, integration with AI frameworks and HPC environments—but the risk is buzzwords over execution if the market moves faster than the roadmap. Competitive pressure is real: VAST, DDN, Weka, EMC, NetApp, HPE are mentioned, meaning differentiation must be tangible. In‑office Santa Clara helps with collaboration, and the pay range ($291k–$437k) is strong for the lane, provided the actual delivery matches the hype. Generated content Technology used Management AI/ML Analytics Data Analytics Cloud Computing GTM Marketing KPI Listed At 2025-12-27 2025-10-02 (original listing) Permalink View original posting
data scientist Product Manager @ freed-ai US \| 2025-12-27 \| USD 170000 - 200000 / year Freed markets itself as a clinician-first AI startup tackling admin overload with an AI scribe and a rapid product slate. This PM role expects 5+ years shipping features in fast cycles,... read more »	AI/ML, Analytics, GTM	Product Manager freed-ai (US) FULL TIME \| JOB LISTED Freed markets itself as a clinician-first AI startup tackling admin overload with an AI scribe and a rapid product slate. This PM role expects 5+ years shipping features in fast cycles, translating clinician needs into simple, practical workflows and tying data insights to priorities. You’ll own the end-to-end lifecycle and partner with engineering, design, and analytics to ship AI-enabled improvements from discovery to rollout. The upside is tangible: real impact on daily practice, solid equity in a well-backed company, and a San Francisco–area hybrid setup. The caveats are real too: healthcare is high-stakes, regulatory and governance hurdles complicate data use, and the market for product talent is brutal. Expect intense collaboration and high expectations as the company scales; compensation sits at $170k–$200k annually. Generated content Technology used AI/ML Analytics GTM Listed At 2025-12-27 2025-10-22 (original listing) Permalink View original posting
data scientist Sr. Staff Marketing Data Scientist @ quizlet US \| 2025-12-26 \| USD 225000 - 305000 / year Quizlet’s senior data/analytics engineering role centers on MMM and cross‑channel incrementality, stitching AppsFlyer/MA MMPs, ad-platform feeds, GA4/GTM, and internal events into an always-on... read more »	AI/ML, Data Science, Marketing, MMM, Stitch, Analytics, API, Google Analytics, GTM, Data Quality, SQL, Python, R, Pandas, NumPy, BigQuery, Snowflake, Redshift, dbt, Airflow, Dagster, CI/CD, Cloud Computing, GenAI	Sr. Staff Marketing Data Scientist quizlet (US) FULL TIME \| JOB LISTED Quizlet’s senior data/analytics engineering role centers on MMM and cross‑channel incrementality, stitching AppsFlyer/MA MMPs, ad-platform feeds, GA4/GTM, and internal events into an always-on measurement engine that informs budgets and targeting. You’ll design holdouts, synthetic controls, CUPED and diff-in-diff, run power analyses, and translate outputs into marginal-dollar recommendations by channel and geography. It’s hands‑on, end‑to‑end: data wrangling across multiparty data, calibrating MMM against experiments, and owning vendor relationships or in‑house models. The on‑site SF requirement (minimum three days) trades remote flexibility for collaboration currency, a loud signal in a crowded analytics market. What stands out is the mandate to move spend decisions with model rigor; what’s risky is vendor lock‑in, data fragmentation, and a heavy emphasis on executive-facing dashboards rather than mentoring juniors. Generated content Technology used AI/ML Data Science Marketing MMM Stitch Analytics API Google Analytics GTM Data Quality SQL Python R Pandas NumPy BigQuery Snowflake Redshift dbt Airflow Dagster CI/CD Cloud Computing GenAI Listed At 2025-12-26 2025-11-08 (original listing) Similar Jobs Loading... Permalink View original posting
data scientist Staff Data Scientist @ evenup US \| 2025-12-26 \| USD 174000 - 275000 / year EvenUp’s Staff Data Scientist role sits at the awkward crossroads of economics and product, with hard ownership of analytics that actually moves pricing and monetization. It promises clear impact... read more »	AI/ML, SaaS, Data Science, Funnel, Analytics, KPI, Data Engineering, Python, R, SQL, GTM, PhD, BI, Looker, Tableau	Staff Data Scientist evenup (US) FULL TIME \| JOB LISTED EvenUp’s Staff Data Scientist role sits at the awkward crossroads of economics and product, with hard ownership of analytics that actually moves pricing and monetization. It promises clear impact through funnel analysis, causal inference, and experimentation, while partnering with Product, Engineering, Ops, and executives to define KPIs and forecast ARR, churn, and usage. The tech expectations are solid but not exotic: Python or R, SQL, strong statistical modelling (time-series, survival, Bayesian), plus Looker or Tableau for storytelling and Optimizely for experimentation. The pitfalls are real: it’s a high-seniority IC job in a fast-growth SaaS/legal niche, demanding robust data instrumentation and governance in an observational world, and the hybrid SF/Toronto requirement may limit applicant pools. The compensation range ($174k-$275k USD) is competitive for senior data science in North America, but the role’s true market differentiator is its explicit focus on monetization strategy in an ethically charged domain. Generated content Technology used AI/ML SaaS Data Science Funnel Analytics KPI Data Engineering Python R SQL GTM PhD BI Looker Tableau Listed At 2025-12-26 2025-10-22 (original listing) Similar Jobs Loading... Permalink View original posting
promoted Masthead Data Masthead is a data reliability platform built for Google Cloud, focused on detecting anomalies and ensuring smooth data pipeline operations. It offers real-time notifications for data issues and pipeline errors without direct access to your sensitive data.	Learn More
data scientist Data Science Engineer @ adobe US \| 2025-12-26 \| USD 128600 - 234200 / year Adobe’s Digital Media B2B Data Science team seeks a Data Scientist to model segmentation, churn, and customer journeys, partnering with product, strategy, and GTM to lift LTV. The role demands... read more »	Data Science, Analytics, GTM, AI/ML, Hadoop, Hive, Spark, SQL, DataViz, Power BI, Python, R, Agile/Scrum, Management	Data Science Engineer adobe (US) FULL TIME \| JOB LISTED Adobe’s Digital Media B2B Data Science team seeks a Data Scientist to model segmentation, churn, and customer journeys, partnering with product, strategy, and GTM to lift LTV. The role demands hands-on data extraction, distributed computing (Hadoop, Hive, Spark), SQL fluency, and strong Python or R for ML spanning classification, regression, time-series, clustering, and propensity modeling, plus dashboarding in Power BI or Tableau. It promises real business impact and cross-functional visibility, but the stack and multi-team dependencies can slow momentum. The explicit pay range ($128,600 -- $234,200 USD annually) is a plus in a market where titles outpace clarity, though location still matters and incentives for non-sales roles are vaguely described. Overall: solid, stack-credible, with the usual Adobe complexity and a heavy emphasis on practical outcomes over buzzwords. Generated content Technology used Data Science Analytics GTM AI/ML Hadoop Hive Spark SQL DataViz Power BI Python R Agile/Scrum Management Listed At 2025-12-26 2025-10-02 (original listing) Permalink View original posting
data scientist Global Business Insights & Automation Lead @ openai US \| 2025-12-25 \| USD 255000 - 405000 / year OpenAI's Global Business Insights & Automation Lead promises a rare mix: hands-on analytics, KPI architecture, and executive storytelling, all in one captain's chair. The role combines data... read more »	Management, LLM, GTM, Analytics, KPI, Data Science, PhD, Computer Science, SQL, Python, BI, Tableau, Go, AI/ML, Cyber Security	Global Business Insights & Automation Lead openai (US) FULL TIME \| JOB LISTED OpenAI's Global Business Insights & Automation Lead promises a rare mix: hands-on analytics, KPI architecture, and executive storytelling, all in one captain's chair. The role combines data science rigor with strategic finance and cross-functional persuasion, leading a small team to design global insight systems, automate recurring analytics, and surface real-time performance drivers. Expect heavy emphasis on SQL, Python, Tableau, and scalable data products—dashboards, pacing models, variance analyzers, and agentic workflows—operating across products and regions. The job skews toward leadership and mentorship as much as code, with Finance, GTM, Product, and Engineering collaboration at its core. What stands out in the market is the seniority and compensation for an analytics-first role that still delivers end-to-end pipelines. The caveat: the expectations are lofty, the internal tools opaque, and success rests on executive storytelling as much as model quality. Generated content Technology used Management LLM GTM Analytics KPI Data Science PhD Computer Science SQL Python BI Tableau Go AI/ML Cyber Security Listed At 2025-12-25 2025-10-22 (original listing) Permalink View original posting
data scientist Product Operations Lead @ gleanwork US \| 2025-12-24 \| USD 198000 - 235000 / year Glean seeks a Product Operations Lead to streamline its high-growth SaaS product organization, with a focus on AI-driven process automation and data insights, a differentiator in its commitment to... read more »	AI/ML, SaaS, API, Microsoft, GitHub, Management, Go, GTM, R, Marketing, Jira, Dashboard, Computer Science, Analytics, SQL	Product Operations Lead gleanwork (US) FULL TIME \| JOB LISTED Glean seeks a Product Operations Lead to streamline its high-growth SaaS product organization, with a focus on AI-driven process automation and data insights, a differentiator in its commitment to AI-first thinking. The role involves cross-functional collaboration and managing ambiguity, but there's a risk of over-reliance on AI for decision-making. Salary ranges from $198,000 to $235,000, with benefits and variable compensation possible. Generated content Technology used AI/ML SaaS API Microsoft GitHub Management Go GTM R Marketing Jira Dashboard Computer Science Analytics SQL Listed At 2025-12-24 2025-10-21 (original listing) Similar Jobs Loading... Permalink View original posting
data scientist Senior Manager, Integrated Campaigns (AI/SaaS Tech, B2B) @ obsidiansecurity US \| 2025-12-24 \| USD 149000 - 185000 / year Obsidian Security's Senior Manager, Integrated Campaigns places you at the funnel's heart of a fast-growing SaaS security vendor. You own strategy and end-to-end execution across email, webinars,... read more »	SaaS, Microsoft, AI/ML, Snowflake, Databricks, GCP, GTM, Funnel, Marketing, Cloud Computing, KPI, Analytics, Management, DataViz, BI, Power BI, Looker	Senior Manager, Integrated Campaigns (AI/SaaS Tech, B2B) obsidiansecurity (US) FULL TIME \| JOB LISTED Obsidian Security's Senior Manager, Integrated Campaigns places you at the funnel's heart of a fast-growing SaaS security vendor. You own strategy and end-to-end execution across email, webinars, digital, and partner programs, tying persona-led journeys to intent signals and ABM plays that actually move the pipeline. Expect heavy use of Marketo and SFDC, with ABM platforms, and data from ZoomInfo, G2, and LinkedIn guiding targeting and content. The role demands 6-10+ years in B2B campaigns, a strong grip on KPIs, attribution, A/B testing, and the ability to translate technical product language into buyer messages. Obsidian's enterprise claims, global footprint, and partner ecosystem (Google Cloud, Databricks) matter, though IPO readiness and vendor complexity will test your ability to deliver scalable playbooks and measurable ROI. Generated content Technology used SaaS Microsoft AI/ML Snowflake Databricks GCP GTM Funnel Marketing Cloud Computing KPI Analytics Management DataViz BI Power BI Looker Listed At 2025-12-24 2025-11-10 (original listing) Permalink View original posting
data scientist Product Marketing Manager, AI Solutions @ navan US \| 2025-12-24 \| USD 105000 - 198000 / year This role seeks a strategic Product Marketing Manager to drive AI product positioning and go-to-market planning. The candidate must demonstrate deep AI expertise, cross-functional collaboration,... read more »	Marketing, AI/ML, GTM, Go, Management, SaaS, Analytics	Product Marketing Manager, AI Solutions navan (US) FULL TIME \| JOB LISTED This role seeks a strategic Product Marketing Manager to drive AI product positioning and go-to-market planning. The candidate must demonstrate deep AI expertise, cross-functional collaboration, and data-driven storytelling. While the opportunity aligns with the company's innovation goals, the emphasis on AI and the need for global collaboration may not fully resonate with traditional data engineering professionals. The compensation range is broad, but the role lacks specific technical details and does not clearly define the tools or frameworks required. The opportunity stands out for its focus on AI and market strategy, but lacks specificity in technical skill requirements and does not highlight the data engineering aspects that would be relevant to a data engineer. Generated content Technology used Marketing AI/ML GTM Go Management SaaS Analytics Listed At 2025-12-24 2025-08-05 (original listing) Similar Jobs Loading... Permalink View original posting

Open jobs

Companies looking for GTM

Used together with GTM

Jobs (this month)

Companies with Jobs

Sr. Worldwide Specialist – GenAI/ML, Data & AI GTM @ amazon-web-services

Sr. Worldwide Specialist – GenAI/ML, Data & AI GTM @ amazon-web-services

O'Reilly: Building AI Agents with Model Context Protocol (MCP)

Director of Product Management, Enterprise AI and Analytics @ purestorage

Product Manager @ freed-ai

Sr. Staff Marketing Data Scientist @ quizlet

Staff Data Scientist @ evenup

Masthead Data

Data Science Engineer @ adobe

Global Business Insights & Automation Lead @ openai

Product Operations Lead @ gleanwork

Senior Manager, Integrated Campaigns (AI/SaaS Tech, B2B) @ obsidiansecurity

Product Marketing Manager, AI Solutions @ navan