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Senior Product Marketing Manager

$140k - $170k

Read AI

About Us

At Read AI we’re redefining how teams collaborate by bringing intelligence to every conversation. Our platform supercharges productivity across meetings, messages, and email, so work gets done faster, smarter, and with better focus. We integrate seamlessly with tools like Zoom, Microsoft Teams, Google Meet, Slack, and more, helping teams stay aligned and move forward, whether they’re in the same room or across time zones.

About Us

At Read AI we’re redefining how teams collaborate by bringing intelligence to every conversation. Our platform supercharges productivity across meetings, messages, and email, so work gets done faster, smarter, and with better focus. We integrate seamlessly with tools like Zoom, Microsoft Teams, Google Meet, Slack, and more, helping teams stay aligned and move forward, whether they’re in the same room or across time zones.

Backed by $82 million in funding from Smash Capital, Madrona, and Goodwater Capital, Read AI is growing. If you're excited to shape the future of AI-powered collaboration and want to make an impact at a product-focused startup, we’d love to meet you.

The Role

Read AI has deep product, fast release velocity, a large self-serve base, and a growing enterprise motion. What we don't have yet is a market story that keeps pace. This role, Senior Product Marketing Manager closes that gap.

Senior, hands-on IC. You do the research, write the messaging, build the launch plan, make the materials, enable the field, and measure what happened.

What You’ll Do
Positioning and messaging
  • Define and maintain Read AI's positioning and messaging architecture, keeping the durable company narrative separate from feature and campaign messaging.
  • Make Read understandable in seconds without reducing it to "another AI notetaker" — extending the story from meetings toward outcomes, workplace intelligence, and action after the conversation.
  • Differentiate by audience: individual users, teams, business leaders, IT, enterprise buyers.
  • Keep website, campaign, lifecycle, comms, Sales, and CS language reinforcing the same story.
Product truth and use cases
  • Sort capabilities into demonstrated customer value, promising hypotheses, and attention-getters — and use each deliberately. Validate claims with Product and Data before building the narrative on them.
  • Prioritize audiences based on product behavior, research, and revenue potential. Build jobs to be done, buying triggers, objections, and proof requirements.
  • Frame use cases around whole customer problems, not isolated features. Turn Sales and CS field learning into repeatable positioning.
Launches and adoption
  • Build a lightweight, tiered launch framework that fits our release velocity: big bets get coordinated support, small releases don't get process.
  • Own launches end to end — positioning, proof, web copy, enablement, education — with Brand & Creative on demo and video, Lifecycle on post-launch discovery, and Comms on company narrative.
  • Measure by discovery, activation, adoption, retention, and sales use. Not publication.
Website and conversion
  • Own content strategy and product narrative for the marketing site, and keep it reflecting the product we ship today rather than a past version of the company.
  • Partner with Growth so the promise holds from ad to landing page to product. Use research, behavioral data, and testing to improve comprehension and action.
Enablement and market intelligence
  • Give Sales a repeatable answer to: what is it, who is it for, why does it matter, why Read, why now — through pitch narratives, demos, objection handling, battlecards, and customer proof. Build for both motions, self-serve through enterprise.
  • Run an ongoing voice-of-customer program and maintain a current competitive view across meeting tools, native platform features, AI assistants, and workplace intelligence — focused on implications and recommended action, not feature checklists.
What You’ll Need
  • 6+ years in product marketing in SaaS, AI, productivity, or another fast-moving category, spanning both PLG/self-serve and enterprise motions.
  • A record of positioning complex or emerging products, building customer-backed use cases, and owning launches from strategy through adoption measurement.
  • Exceptional writing and narrative development; able to understand technical products deeply and translate them into credible outcomes.
  • Comfort challenging founders and executives, and operating without a large marketing org or agency support.
  • A portfolio of real work — messaging, launches, websites, enablement — not only frameworks. Category creation is a plus.
Why Read AI?
  • Innovative: We bring AI to the masses with proactive technology that acts as the ultimate AI assistant. Built on our proprietary, patented technology, Read AI takes notes, surfaces information, facilitates collaboration, and learns you, making individuals and teams more effective. We launched Operator to capture and analyze conversations wherever they happen: On the go, spontaneously, in your office hallway, and at a coffee shop.
  • We’ve also introduced our new desktop apps for Windows and macOS and our Android app, joining Read AI for iPhone and web.
  • Massive Impact: AI's greatest impact will be on the ability to allow people to do more, taking away mundane tasks, and guiding them to the next best action.
  • Growth Opportunities: Read AI is the fastest growing AI-copilot and meeting notetaker in history, and is one of the leading AI companies in the world, adding more than 1MM new customers every month. The company raised Series A and B in 2024, also was recognized as a Top Startup in Seattle by LinkedIn (2025), also notably a Top Company To Watch in 2025 by Inc Magazine, and is one of the Top AI Companies in Demand by Startups, according to a16z.
  • Leadership: Learn more about CEO and Co-Founder David Shim in this Fortune Good Life profile and listen to him share his vision for AI Agents, Digital Twins and the Future of Work. CTO and Co-Founder Rob Williams was recently anointed as one of the most disruptive leaders in AI. For more on our technology, Co-Founder and VP Data Science Elliott Waldron goes behind-the-scenes on our patents and models in this tech brief.
  • Collaborative Culture: Work in a supportive and collaborative environment with a diverse and talented team.

The annual base salary for this position ranges from $140,000 - $170,000 plus equity and benefits. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer low deductible health plans, as well as flexible time away and family leave programs.

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

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Vacancy posted 1 day ago
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