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Adaptive ML

Head of Product Marketing

Reposted 7 Days Ago
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In-Office
2 Locations
Senior level
In-Office
2 Locations
Senior level
The role involves scaling marketing functions, defining positioning, executing GTM strategies, managing marketing funnels, and creating impactful content for different personas in a cross-functional environment.
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About the team

Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialize and deploy LLMs into production with measurable impact.

We provide the core infrastructure to tune, evaluate, and serve specialized models at scale — pioneering task-specific LLM development and running production-ready workflows that serve millions of requests while optimizing for both cost and performance across distributed systems.

Our tightly-knit team was previously involved in the creation of state-of-the-art open-access large language models. We raised a $20M seed led by Index Ventures and ICONIQ in early 2024, and we're already live in production with customers including Manulife, AT&T, Deloitte, across travel and financial services — with much more to be announced soon.

About the role

We’re hiring our first Product Marketing Lead to help make Adaptive obvious — as a category, as a product, and as a choice.

This is a foundational, hands-on role focused on product and category marketing. You will shape how Adaptive is understood by enterprise decision-makers, while remaining deeply credible and useful to technical users such as developers and data scientists.

The role sits at the intersection of product, applied AI, and go-to-market, working closely with Product, Engineering, Sales, and GTM leadership. It is not a demand generation or funnel-ownership role. Success is measured by category clarity, product understanding, and improved sales conversations — with downstream impact on pipeline driven by narrative and positioning.

If you enjoy working hands-on with a highly technical product, collaborating closely with engineering teams, and shaping how an emerging category is understood by enterprise buyers as well as developers and data scientists, this role is for you.

Your Responsibilities

1. Category & Positioning (What we are)

  • Own Adaptive’s product and category narrative, positioning, and messaging, ensuring clarity for enterprise decision-makers while remaining accurate and compelling for developers and data scientists;

  • Translate complex AI, reinforcement learning, and infrastructure concepts into clear, differentiated value propositions across buyer and user personas;

  • Lead messaging for major product launches, feature releases, and strategic milestones, in close partnership with Product and Engineering;

  • Continuously sharpen positioning through customer, market, and competitive insight;

  • Partner with Communications leadership to ensure alignment between product messaging and the broader company narrative.

2. Sales & Enterprise Enablement (How we are sold)

  • Build and maintain high-impact sales enablement assets (pitch decks, one-pagers, technical overviews, customer stories) tailored to enterprise buying processes and multi-stakeholder sales motions;

  • Equip Sales, Solutions Engineering, and Partnerships with clear narratives, talk tracks, and positioning frameworks that improve the quality and efficiency of sales conversations;

  • Collaborate closely with GTM leadership to ensure messaging supports pipeline growth through clarity and credibility, without owning demand generation, paid acquisition, or funnel operations.

3. Narrative Execution & Consistency (How we show up)

  • Own the consistency of Adaptive’s product and category narrative across customer-facing touchpoints, including the website, launch materials, and key product content;

  • Produce and oversee high-leverage product and category content (e.g. technical explainers, core messaging, launch assets) that reinforces product understanding and category leadership;

  • Ensure messaging remains aligned as the product, market, and company scale.


Your (ideal) background

The profile below is indicative — we value signal, judgment, and mindset over perfect resumes. Strong candidates typically bring:

  • ~6–8 years of experience in product marketing, product management, or a closely related role, ideally in AI, ML, data, or developer-focused infrastructure products

  • Demonstrated experience working on highly technical products with enterprise buyers and developers / data scientists as primary users;

  • Proven ability to craft clear positioning and messaging for complex systems without oversimplifying or relying on hype;

  • Experience supporting direct and indirect enterprise sales motions through narrative, enablement, and product clarity (rather than paid growth or funnel ownership);

  • Strong written and verbal communication skills, with a bias toward precision, structure, and clarity;

  • Comfort operating hands-on in early-stage environments, collaborating closely with technical teams, and taking high ownership in ambiguous contexts;

  • Motivation to grow with the company as it scales from seed to Series A and beyond, with increasing scope and responsibility over time.

Benefits
  • Hubs in New York and Paris, with a remote-friendly culture

  • Competitive compensation and equity

  • Comprehensive health coverage

  • 401(k) with employer matching (or equivalent)

  • Unlimited PTO (with encouragement to take real time off)

  • Mental health, wellness, and learning stipends

  • Visa sponsorship available for New York or Paris

Top Skills

AI
Hubspot
Linkedin Ads
Machine Learning
Seo Tools

Adaptive ML New York, New York, USA Office

New York, New York, United States

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