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Remote Gtm Strategy Jobs (NOW HIRING)

PandaDoc

Senior GTM Data Scientist

What You'll Do Predictive Modeling & GTM Strategy * Model Development: Design, build, and deploy ... Remote-first approach with the option for hybrid work from our offices in Kyiv, Warsaw, and Lisbon.

Sophos

GTM Rev Ops Process Manager

$115K - $191K/yr

This role translates business strategy into clear, repeatable workflows and will help drive ... While we are a remote first organization, applicants must have legal authorization to work in the ...

InMarket

Director, GTM Marketing - Measurement

Remote - US Only About InMarket Since 2010, InMarket has been the leader in 360-degree consumer ... Develop and lead the comprehensive GTM strategy aligned to Measurement revenue goals * Translate ...

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How much do remote gtm strategy jobs pay per year?

As of Jul 20, 2026, the average yearly pay for remote gtm strategy in the United States is $93,739.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,000.00 and $125,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Gtm Strategy vs Remote Sales Enablement?

AspectRemote Gtm StrategyRemote Sales Enablement
Primary FocusDeveloping go-to-market plans, market positioning, and overall strategySupporting sales teams with training, tools, and content to improve sales performance
Required SkillsMarket analysis, strategic planning, cross-functional collaborationSales training, content creation, communication skills
Work EnvironmentStrategic planning sessions, cross-departmental meetings, remote collaborationSales meetings, training sessions, content development
Industry UsageUsed by marketing, product, and executive teams to shape market approachUsed by sales teams and enablement departments to boost sales effectiveness

Remote Gtm Strategy focuses on creating comprehensive go-to-market plans and strategies, while Remote Sales Enablement concentrates on equipping sales teams with the necessary tools and training. Both roles are essential in a company's growth but serve different functions within the sales and marketing ecosystem.

More about Remote Gtm Strategy jobs
What cities are hiring for Remote Gtm Strategy jobs? Cities with the most Remote Gtm Strategy job openings:
What are the most commonly searched types of Gtm Strategy jobs? The most popular types of Gtm Strategy jobs are:
What states have the most Remote Gtm Strategy jobs? States with the most job openings for Remote Gtm Strategy jobs include:
What job categories do people searching Remote Gtm Strategy jobs look for? The top searched job categories for Remote Gtm Strategy jobs are:
Remote Gtm Strategy jobs near you
Infographic showing various Remote Gtm Strategy job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 7% As Needed, 90% Full Time, and 1% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $93,739 per year, or $45.1 per hour.
Senior GTM Data Scientist

Senior GTM Data Scientist

PandaDoc

Remote

Full-time

Posted 12 days ago

Job description

The Opportunity
As a Senior GTM Data Scientist at PandaDoc, you will be a critical analytical partner to our Go-To-Market (GTM) teams. You will embed yourself in our GTM data to uncover insights and drive actionable recommendations across Sales, Marketing, and Customer Success.
The core of this role is to design, build, and maintain predictive machine learning models that optimize customer acquisition, revenue attribution, and retention efforts. You will apply analytical rigor and methodologies like experimentation and causal inference to provide GTM leadership with a reliable understanding of business efficiency and impact. You will report to the Director of GTM Data and act as a reliable thought partner to Marketing, Sales, Customer Success, and Finance.
What You'll Do
Predictive Modeling & GTM Strategy
  • Model Development: Design, build, and deploy foundational GTM models, including Customer Lifetime Value (LTV) forecasting, Marketing and Sales Attribution, and Propensity models (e.g., propensity to convert, churn, or expand).
  • GTM Experimentation: Partner with GTM teams to design and analyze controlled experiments across various channels, including website A/B testing, pricing experiments, and marketing campaign effectiveness. You will use methodologies such as AB, multivariate, Bayesian, and Causal Inference.
  • Deep Dive Analysis: Execute proactive, complex analytical deep dives to discover latent user behavior and root causes of changes in GTM metrics, translating findings into actionable recommendations.
  • Marketing Mix Modeling (MMM): Support the interpretation of MMM results to help maximize marketing ROI and assess the feasibility of future in-house modeling.
Measurement & Technical Rigor
  • Measurement Frameworks: Define, instrument, and govern a unified Key Performance Indicator (KPI) framework that maps GTM activities (e.g., CAC, Funnel conversion, Retention) to high-level business outcomes.
  • Data Advocacy: Translate complex statistical findings and model outputs into compelling business narratives for cross-functional partners.
  • Data Partnership: Work closely with Data Engineering to ensure data quality, reliable instrumentation, and the development of reusable predictive assets like model feature stores.
  • Guidance: Provide technical guidance to peers and stakeholders on best practices for data exploration, ML modeling, and causal methodologies.
About You
Qualifications
  • Experience: 4+ years of professional experience in an applied data science, economics, or GTM analytics role, with a proven track record of leveraging predictive modeling and experimentation to drive measurable business impact.
  • Education: B.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, or a related quantitative discipline. A Master's degree is preferred, but not required
Technical Expertise
  • Machine Learning: Demonstrated experience in building and validating production-ready models for business applications (LTV, Attribution, Propensity).
  • Causal Inference: Practical application of Causal Inference methods, such as Quasi-Experimentation, Matching Methods (PSM), and Difference-in-Differences
  • Experimentation: Proficiency in statistical methodologies for A/B testing, including sample size calculations, sequential testing, and variance reduction techniques.
  • Programming & Tools: Advanced proficiency in Python or R (specifically Scikit-Learn, pandas, numpy) and expert-level SQL.
  • Data Pipelining: Experience with tools like dbt, Airflow, Databricks, or Snowflake is a strong plus.
Key Attributes
  • Strategic Communication: Strong data storytelling skills with the ability to influence cross-functional partners and drive consensus in ambiguous environments.
  • Thrive in Ambiguity: Ability to translate complex business questions into clear analytical frameworks while managing multiple competing priorities.
  • Domain Expertise: Experience in a SaaS domain and a strong focus on supporting Sales, Marketing, or Customer Success data needs are highly preferred. Experience building LTV, attribution, and propensity models is strongly preferred.
Company Culture:
  • We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.
  • Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers.
  • Check out our LinkedIn to learn more.

Benefits
  • Competitive salary (If you are located in Poland the salary range is 24,000 to 29,000 PLN gross per month)
  • Remote-first approach with the option for hybrid work from our offices in Kyiv, Warsaw, and Lisbon.
  • We value long-term collaboration, whether through typical employment contract, employment of record or B2B arrangements. Be aware that contract type and benefits vary by location - feel free to clarify with our recruiters).
  • Honest, open culture that values constructive feedback.
  • Professional and personal development within a collaborative, supportive team.
  • Stable yet growing SaaS product offering an agile environment, ownership, start-up energy, and strong technical challenges.

The annual compensation for this role is up to $185k.
PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.
EXTERNAL RECRUITERS
Approval Requirement
The use of external recruiters/staffing agencies requires prior approval from our HR Team. The HR Team at PandaDoc requests that external recruiters/staffing agencies not to contact PandaDoc employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with PandaDoc.
Application deadline: 09/20/26
PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.

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