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SiftHub is an Agentic Platform for Deal Orchestration. We deploy agents to automate sales collateral, deal briefs, RFPs, and post-meeting follow-ups; unblocking deals for sales and solutions teams.SiftHub collates and sifts through your ecosystem (Drive, Gong, CRM, Slack, and more) to identify and convert real-time deal signals into tailored content and ready-to-execute actions. Designed to replicate how top-performing reps execute deals. Trusted by revenue teams at Saviynt, Everlaw, Allego, Superhuman, Sirion and more.
As a Senior Product Manager, you will work closely with engineering, design & sales teams to build and ship AI-native product experiences that directly impact revenue workflows. This is a customer-facing role with strong exposure to pre-sales, solutioning, and real-world deal execution scenarios.
Join us today and help us shape the future of AI for enterprises!
Partner with engineering and design teams to build and iterate on AI-native product features across the deal lifecycle
Work closely with sales teams as solutions expert to understand customer requirements, shape product narratives, and support solutioning for deals
Run live product demos, technical discovery calls, and solution scoping sessions with prospects and customers
Translate customer use cases, deal scenarios, and feedback into clear product requirements, user stories, and feature enhancements
Own end-to-end execution of features - from discovery and scoping to launch and iteration
Leverage product analytics, user behavior, and feedback loops to continuously improve product performance and usability
Collaborate cross-functionally to ensure smooth product rollouts and strong adoption across customers
Build and maintain competitive intelligence on adjacent tools, and translate positioning gaps into product roadmap priorities
Master’s in Business Administration or related field
6+ years within the B2B SaaS industry, with a track record of launching successful AI products and driving growth in early-stage startups
Hands-on experience working on AI-native products (LLMs, agents, automation workflows)
Strong exposure to customer-facing roles, including working with sales, running demos, solution scoping sessions with enterprise buyers
Technical fluency: comfort working with APIs, integrations, data models (CRM schemas, SSO/SCIM), and understanding how LLM pipelines and agentic workflows operate under the hood
Comfort with rapid prototyping and vibe coding, using AI tools (Cursor, Claude, Replit) to quickly build functional prototypes, internal tools, or proof-of-concept workflows without relying on engineering resources
Solid understanding of product analytics, user behavior, and iterative product development
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