About the position

Showpad is building a Revenue Intelligence engine that transforms raw signals—CRM data, email threads, transcripts, and content engagement—into prescriptive AI guidance. We are looking for a technical Product Manager to own the unified data intelligence layer that powers this engine.

You will define how we capture and model data, and critically, determine the best retrieval and inference strategies (Search, RAG, Knowledge Graphs, or Vector Similarity) for every use case.

Key Responsibilities

Data Modeling & Architecture: Define the canonical model for entities (deals, contacts, skills) and establish the retrieval strategy—choosing between keyword, dense vector, hybrid, or graph traversal based on latency and accuracy.
Search & RAG Ownership: Own the end-to-end RAG pipeline (chunking, embeddings, indexing). Write technical specs for retrieval layers in Meeting Prep and Roleplay AI, and define evaluation metrics (Recall@k, MRR).
Revenue Intelligence Roadmap: Drive the vision from "trusted foundation" to "prescriptive AI." Own the product logic for Deal Health and Winning Behavior models.
Platform Enablement: Act as the internal PM champion for the data platform, providing semantic primitives, event taxonomies, and data contracts to other product squads.
Discovery & Strategy: Conduct deep customer discovery and stay ahead of LLM/Search trends, translating fuzzy business questions into scoped ML problems.

Required Skills

Must haves

5+ years in PM: at least 2 years specifically owning data platforms, search, analytics, or ML products.
Retrieval Expertise: Hands-on experience shipping RAG pipelines or search systems. You understand the trade-offs between BM25, vector search, and reranking.
Data Technicality: Fluency with Datalake architectures (Delta Lake, BigQuery, etc.) and strong entity-relationship modeling skills.
ML Fluency: Ability to define features, label designs, and evaluation metrics. You can review a technical design doc alongside engineers.
Skilled at translating complex technical infrastructure into clear business value for executive stakeholders.

Nice to haves

Experience in B2B SaaS, CRM, or Sales Enablement.
Knowledge of graph databases (Neo4j, Neptune).
Prior background as a Data Engineer or Scientist.

Company Highlights:

Welcome to the new era of revenue effectiveness. The merger of Showpad and Bigtincan is creating the first AI-powered platform to strengthen the entire field selling motion.

By unifying two industry-acclaimed solutions for content, readiness, engagement, and intelligence into a single operating system, we are delivering unrivaled scale and accelerated growth for our 2,000+ combined customers worldwide, including leaders in manufacturing (Dow, Dupont), healthcare (Fujifilm, Kaiser Permanente, Johnson&Johnson), CPG (Smucker’s, Mitsubishi, Stanley Black & Decker), and enterprise tech (HID, CultureAmp, LastPass).

Acclaimed by analysts and adored by customers, we’re recognized as a Leader in the Forrester Wave™ Revenue Enablement Platforms, honored by Gartner as a Customers’ Choice in Revenue Enablement Platforms, and, together, endorsed by nearly 3,000 5-star customer reviews on G2.

United, we’re focused on powering the next generation of field selling success through a more holistic engine that creates lasting value for our customers and a new vision for our category.

Discover the revenue team outcomes we’re driving together at showpad.com.

What you can expect from Showpad

We welcome every voice and are committed to building a truly inclusive environment where your differences are not just welcomed, they are celebrated. We’re building a best-in-class experience for our employees and are always identifying opportunities to encourage our team to be their authentic selves. Whether it’s additional company-wide days off, paid time off to volunteer at non-profit organisations, personal development opportunities or professional stretch assignments, you can expect Showpad to support you.

We are committed to creating a diverse and inclusive organisation and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other dimensions of identity.

Senior Product Manager, Data Intelligence & Knowledge Graph