Senior Product Marketing Manager – Agentic Observability Platform

Scope of the Role:

We are building an industry-leading Agentic Observability Platform to help enterprises evaluate, monitor, and improve AI agents throughout their lifecycle. This is not a traditional product marketing role. You will help build the business from the ground up alongside Product, Engineering, Sales, and Marketing. You will shape positioning, messaging, launches, customer engagement, analyst relations, competitive strategy, sales enablement, and demand generation. Think of this as joining an early-stage AI startup backed by an established public company.

What You’ll Own:

• Own the go-to-market strategy for the Agentic Observability Platform.
• Develop differentiated messaging, positioning, and value propositions.
• Build competitive intelligence on emerging AI observability, evaluation, and governance vendors.
• Partner with Product and Engineering to shape the roadmap based on customer feedback and market trends.
• Lead product launches and release communications. Develop customer-facing content including:

• • Website messaging
  • Product pages
  • Solution briefs
  • White papers
  • Case studies
  • Demo scripts
  • Sales presentations

Enable Sales through:

• • Battle cards
  • Competitive positioning
  • Discovery guides
  • Objection handling
  • Pricing support
  • Demo narratives

Partner with Demand Generation on:

• • Campaign strategy
  • Landing pages
  • Webinars
  • Digital advertising
  • Content strategy
• Conduct customer interviews to continuously refine messaging.
• Represent Innodata at conferences, webinars, customer meetings, and industry events.
• Support analyst and media briefings. Become an internal expert on AI evaluation, observability, governance, agentic AI, and enterprise adoption.

You’ll Thrive in This Role If You Have:

• 7+ years of Product Marketing experience.
• Experience launching enterprise B2B SaaS products.
• Strong technical curiosity with the ability to understand AI platforms and developer technologies.
• Excellent storytelling and presentation skills.
• Experience working closely with Product Management and Engineering.
• Ability to translate technical capabilities into business value.
• Comfort operating in ambiguous, fast-moving startup environments.

Preferred Experience

Experience with one or more of:

• AI platforms
• LLMs
• Agentic AI
• AI evaluation
• AI observability
• ML infrastructure
• Developer platforms
• Enterprise software

Experience marketing products to:

• AI teams
• Engineering leaders
• CTOs
• CIOs
• Data science organizations

Success Metrics (First 12 Months)

• Launch a complete messaging and positioning framework.
• Deliver world-class website and product content.
• Build competitive intelligence for the AI observability market.
• Enable Sales with comprehensive GTM assets.
• Support major product launches and customer announcements.
• Improve product awareness, pipeline contribution, and win rates.
• Establish Innodata as a recognized thought leader in Agentic AI evaluation and observability.

Characteristics

• Entrepreneurial
• Customer obsessed
• Technically curious
• Strategic but highly execution oriented
• Comfortable wearing multiple hats
• Data driven
• Excellent writer
• Strong presenter
• Collaborative across Engineering, Product, Sales, and Marketing

This is a foundational hire that will help define the future of Innodata’s Agentic Observability business.

The expected salary range for this position is $– $ USD per year, based on experience, skills, and qualifications.

Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. 

If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.