Senior Product Manager

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!

Responsibilities

• 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 behaviour, 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

Requirements

• 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 behaviour, and iterative product

development