• Serve as the primary product point of contact for OEM subscribers to the Automotive Enterprise Cloud, leading requirement reviews/workshops, and managing prioritization in accordance of maximum business impact for said OEMs. • Translate OEM-specific business needs — including compliance mandates, data sharing standards, customer experience requirements, and brand program integrations — into clear, prioritized product requirements. • Own and maintain the OEM-facing AEC product roadmap, balancing individual partner requests against broader platform strategy and cross-OEM scalability. • Partner with Engineering, Solutions Architecture, Program Management, Product Marketing, and Customer Success to define and deliver OEM integration capabilities, including API standards, data pipelines, reporting frameworks, and dealer program compliance tooling. • Lead discovery with OEM stakeholders to uncover unmet needs, identify friction points, and inform the long-term vision for the AEC platform. • Define suggested success metrics for OEM integrations and platform capabilities in tandem with the Program Management Organization; instrument, monitor, and report on adoption, satisfaction, and value realization. • Create and maintain product artifacts including BRDs, PRDs, ISDs, and internal and external-facing documentation. • Represent the OEM product perspective in cross-functional planning, executive reviews, and company-level roadmap discussions. • Stay current on OEM industry trends, certification requirements, competitive platforms, and regulatory developments affecting automotive retail technology.

• Own the payments strategy for the group • Define and implement the payments strategy • Manage the ElenPay roadmap and expansion • Integrate PSP with banking house services • Run payment capabilities as a house function • Develop scalable infrastructure for future payment rails

Role Description 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. Qualifications - 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 .

• Define and evolve product strategy and roadmap for compliance products in alignment with customer needs, regulatory requirements, and business goals. • Partner closely with engineering and design to build intuitive compliance experiences that help customers stay ahead of requirements and reduce operational risk. • Get close to customers, identify compliance pain points and opportunities, and translate insights into clear product requirements and priorities. • Drive execution from concept through launch by creating clarity, managing tradeoffs, and keeping cross-functional teams aligned on scope, timelines, and outcomes. • Use data and product metrics to inform prioritization, evaluate impact, and continuously improve the customer experience.