Senior Product Manager

This is a fully remote position, open to applicants in India.

📋 Description

• Take ownership of the vision, strategy, roadmap, and outcomes for a specific product area within Forecasting, Deal Management & Analytics.

• Manage decisions regarding AI applications, including the identification and prioritization of use cases, as well as determining when certain problems should be addressed without AI.

• Set evaluation criteria, quality standards, and both offline and online metrics for AI-driven capabilities.

• Collaborate with data science and ML engineering teams to transition capabilities from the experimentation phase into production.

• Develop guardrails, human-in-the-loop designs, and strategies for addressing customer-facing failure scenarios.

• Define and prioritize tasks while making trade-offs regarding scope, sequencing, and timelines.

• Lead discovery sessions and conduct research to accurately capture customer feedback.

• Establish and utilize metrics for adoption, quality, and business impact to guide the product roadmap.

• Monitor the market, competitive landscape, and customer insights, translating these findings into product positioning and roadmap priorities.

• Collaborate with product marketing, enablement, and finance on launch strategies, positioning, pricing, and packaging.

• Drive initiatives that require collaboration across different product teams.

⛳️ Requirements

• 7+ years of product management experience in developing enterprise or B2B SaaS products.

• Proven experience in launching AI or data products with LLM-powered functionalities, copilots, or agentic workflows, including maintaining quality post-launch.

• Proficient in modern AI technologies: model integration, context orchestration, prompt design, guardrails, and evaluation frameworks.

• Ability to simplify complex AI capabilities into intuitive product experiences that deliver measurable customer value.

• Demonstrated success in collaborating closely with engineering and data scientists to transition models from experimentation to production.

• Comfortable constructing business cases, utilizing data to test hypotheses, and making decisions amid uncertainty.

• Possess customer empathy and the discipline to engage with users instead of relying on assumptions.

• Capable of establishing a long-term strategy while achieving significant short-term impacts, and effectively engaging senior leadership and cross-functional teams.

• Preferred: Experience with analytics, reporting, or performance measurement products, or those that convert behavioral data into recommendations and guidance.

• Preferred: Experience in creating products for go-to-market teams such as sales, marketing, revenue operations, or customer success.

• Preferred: Familiarity with conversation intelligence or products developed from unstructured interaction data.

• Preferred: Knowledge of AI governance, privacy, compliance, and responsible AI principles for enterprise readiness.

• Preferred: Experience working in a distributed product organization across multiple regions.

🏝️ Benefits

• Flexible remote work options.

• Opportunity to collaborate with engineering, design, and data science teams across India, Czechia, and the US.

• Freedom to determine what gets built and the rationale behind it.

• Work within an organization that boasts more resources than a small startup, yet has fewer processes than a mature company.