Product Marketing Manager

Remote - U.S. & Canada

Gretel

Use Gretel's APIs to fine-tune custom AI models and generate synthetic data on-demand. Try the end-to-end synthetic data platform for free.

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We're hiring a Product Marketing Manager to join the team, and will consider hiring at Senior, Staff, and Principal level, depending on experience/demonstration of skills!

Who We Are

Gretel is solving the data bottleneck problem for developers, data scientists and AI/ML researchers by providing them with safe, fast and easy access to data without compromising on accuracy or privacy. Designed for enterprise developers, Gretel makes it simple to generate anonymized and safe synthetic data so you can preserve privacy and innovate faster.  We’re disrupting how organizations innovate with data and are looking for a talented Product Marketing Manager to join our mission!

The Impact You'll Have

Gretel is looking for a strategic Product Marketing Manager to drive and scale enterprise growth for our synthetic data platform and APIs. You will help our customers and users understand the value of and how to use Gretel’s synthetic data models to unlock enterprise value, including how to integrate them into workflows and data pipelines. You’ll help us highlight how safe, synthetic data can be used for AI projects, including evaluating and fine-tuning AI models while maintaining privacy. This role requires critical thinking skills, an inherent curiosity to dig deeply into technical products, and excellent stakeholder management abilities.

You’ll join a team of collaborative cross-functional product marketers that drive a number of critical initiatives that contribute to pipeline growth and help drive market awareness of synthetic data. These will include product positioning & messaging, ICP & persona definition, product releases & launches, sales & partner enablement, solutions and partner marketing, as well as collaborating with growth marketing for lead generation and campaign support. You care equally about quality, execution, and teamwork, and are excited to work at a startup. You're intellectually curious, willing to try new things, and can manage numerous projects with tight deadlines. 

  • Become a market expert - develop an understanding of synthetic data and developer workflows, how enterprises work with data, and how our products integrate with modern AI tech stacks

  • Serve as a consensus builder between teams to ensure the voice of the customer becomes a critical component of how we scale

  • Collaborate with product management and sales teams to define the go-to-market (GTM) strategy for new product launches and updates

  • Create sales enablement materials, including product guides, sales decks, and battlecards, to empower the sales team to effectively sell technical products

  • Define campaign messaging pillars and develop high-quality campaign content, such as whitepapers, case studies, technical documentation, webinars, and blog posts, that educate enterprise audiences and result in lead generation

  • Collaborate with strategic partners to drive joint marketing initiatives and co-marketing campaigns with large cloud providers and marketplace teams to accelerate co-selling

Requirements

  • 3+ years of relevant product marketing experience with a developer-focused B2B SaaS product or services built and available in a public cloud

  • Experience leading product releases & launches and marketing Generative AI, machine learning (ML), and/or data tools to technical users and developers, especially co-marketing with cloud-service provider and AI infrastructure partners

  • Experience with product marketing at product-assisted and/or sales-influenced growth companies, especially with enterprise ABM campaigns

  • Excellent written and verbal communication skills for both internal and external audiences, ranging from business to technical

  • Ability to work collaboratively in cross-functional teams and manage multiple projects simultaneously.

  • Occasional travel to staff exhibitor booths and speak at events & conferences

Nice To Have

  • Computer science, data science, statistics or technical degree 

  • SEO and content marketing & strategy

  • Experience with MarTech tools, including Hubspot, WebFlow, Zoom, YouTube, and/or  LinkedIn

We think the best ideas come from the blending of diverse perspectives and experiences, which will lead to a stronger company and advancements in technologies.  We hire individuals whose peers call them subject matter experts, whose curiosity draws them to new edges of their field and who like to laugh.  We are deeply collaborative, apolitical and mission-oriented.

Gretel is an equal opportunity employer. Individuals seeking employment and employees at Gretel are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. 

Accommodations: We celebrate diversity and are committed to creating an inclusive environment for all candidates and employees. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Compensation

Employee compensation will be determined based on interview performance, level of experience, specialization of skills, and market rate. During the offer discussion, your recruiter will review the finalized base salary, bonus (for applicable roles), benefits and perks (additional information available on our career site), and stock options as they’ll be reflected in the offer letter. 

Employees hired in the U.S. and Canada can expect the below information to reflect a reasonable estimate of the salary offered for this role. Salary ranges are updated regularly using premium market data. (Please note: it is unusual for new hires to receive a base salary at the top of the range. Additionally, the value of Gretel.ai’s stock options is not included in the salary bands and may represent a significant portion of your compensation.)

Product Marketing Manager, $165,000-$200,000 USD + stock options

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Tags: APIs Computer Science Data pipelines Generative AI HubSpot Machine Learning ML infrastructure Pipelines Privacy Statistics

Perks/benefits: Career development Conferences Equity / stock options Salary bonus Startup environment Team events

Region: North America
Country: United States

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