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DevRev

Integrates data engineering with GenAI solutions

Senior Product Marketing Manager

Product MarketingPosted on Nov 10
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 10 years of experience in product marketing, growth, or developer marketing for a technical or enterprise audience.
  • A track record of customer-facing content, campaigns, or messaging that can be discussed in detail and tied to measurable outcomes.
  • Experience owning end-to-end product launches and marketing campaigns.
  • Comfort with analytics, customer relationship management, and marketing automation tools such as HubSpot to drive decisions.
  • Strong cross-functional collaboration, prioritization, and program management.
  • Background in, or strong interest in, AI-powered products.
  • Ability to write clearly, explain complex features, and present strategy effectively.
  • Strength in positioning products and developing a point of view about which story will resonate with a segment and product moment.
  • Ability to develop and test hypotheses on channels, messaging, and value propositions, measure outcomes, and iterate quickly.
  • Ability to analyze key performance indicators, understand performance drivers, and translate insights into action.
  • Ability to build cross-functional trust and manage senior stakeholders without formal authority.
  • Comfort building from scratch and applying a hacker mentality.

Responsibilities

  • Lead go-to-market strategy and execution for launches and feature releases, owning the launch plan, ideal customer profile, value drivers, and coordination with product, design, sales, and demand generation.
  • Define positioning, messaging, and differentiation across segments, from solo sign-ups to enterprise buyers.
  • Build a measurement framework to provide visibility into expected outcomes and continuously track pipeline, sign-ups, activation, adoption, and win rate.
  • Own the competitive narrative for the product area against horizontal AI, legacy customer and employee experience tools, and build-it-yourself alternatives; translate it into battlecards and objection handling for the field.
  • Partner with product and engineering to shape roadmap priorities using customer and competitive insight, and feed named requests from win/loss analysis and customer calls back to leadership.
  • Support sales enablement with pitch narratives, competitive messaging, demos with objection handling, and case studies.
  • Develop and test hypotheses on channels, messaging, and value propositions; treat launches as measurable tests and iterate based on results.
  • Track relevant key performance indicators, determine what is changing and why, and turn insights into subsequent actions.
  • Use generative AI tools to create content and keep current with newly released models.

Desired Qualifications

  • Daily use of generative AI tools to produce content and familiarity with new models as they are released.
  • Experience with A/B testing and customer research methodologies.
  • A track record of leading successful product launches across multiple markets or segments.
  • Experience working in matrixed, cross-functional organizations.
  • Familiarity with product analytics, customer relationship management, and marketing automation platforms.

About the Company

DevRev

Integrates data engineering with GenAI solutions

DevRev.ai builds AI-powered data engineering tools to connect data from silos like support, product management, and software development. Its flagship GenAI platform integrates data engineering, knowledge graphs, and customizable language models to automate and streamline business operations. It serves a broad range of clients with tailored AI solutions, charging either one-time project fees or ongoing service subscriptions. The company differentiates itself by offering integrated AI that unifies disparate parts of a business rather than focusing on a single function. The goal is to help organizations improve efficiency and cross-team collaboration through tailored, data-driven AI.

Company size
501-1,000
Company stage
Series A
Total funding
$150.8M
Headquarters
Palo Alto, CA
Founded
2020

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