Senior AI-Driven Product Manager - Post-Sale SaaS (Remote)

TaskRay; Denver (CO); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Health benefits

Flexible PTO

Every other Friday off

Family leave 12 weeks

Job summary

TaskRay is seeking a senior Product Manager to define and drive the AI/agent roadmap for onboarding and revenue acceleration in Salesforce. You’ll translate real sales scenarios into clear requirements, design for agents and workflows, and collaborate with Sales, CS, Engineering, and Solutions.

You will influence product direction with customers and executives alike. You’ll own discovery, PRD creation, prototyping, and early customer tests, helping shape a new AI-driven post-sale workflow

Qualifications

• 3+ years in product management for B2B or enterprise SaaS.
• Track record of decisions that moved the business, with specifics: named accounts, revenue saved or won, deals turned around.
• Hands-on prototype building with tools like Claude, Lovable, or Cursor.
• Real fluency with AI systems: prompt design, evaluation, and judgment about where a human belongs in an agent's loop.
• Strong PRD writing: requirements focused on user goals rather than a preferred solution.
• Experience owning product discovery through adoption and renaming lines where engineering owns the how.

Responsibilities

• Prototype to test ideas, and write PRDs to get everyone aligned.
• Write PRDs that start from goals and the jobs customers are trying to get done, then work down to journeys, requirements, and acceptance criteria clear enough to build from and defend at executive review.
• Ship rough versions to opted-in customers early, watch how they actually use them, and adjust. Match polish to how proven the bet is.
• Own the problem, the priority, and how success is measured. Leave the how to engineering, and weigh in when they raise tradeoffs.
• Define agents, skills, and workflows that customers own and can extend, built for a product where people and agents are both users.
• Find out which AI workflows customers will pay for through design-partner work and tested bets. Let pricing and packaging follow demand you have proven.
• Design for what happens when things go wrong, not only the happy path: audit trails, permissions, rollback, evaluation loops.
• Use AI tools in your own work (discovery, PRDs, prototypes, analysis) and coach other PMs and product owners on the craft.
• Run real discovery. Frame the questions worth answering, design tests that give clear answers, and spend meaningful time with customers and prospects learning what is forcing their hand and where today's options fall short.
• Map the whole buying group, not just the user: the economic buyer, the integration owner, procurement, and whatever actually decides adoption.
• Run the design-partner motion for your area. Pre-sell a focused version of the vision to a handful of prospects before the product fully exists, and set up each engagement so what you learn turns into product you can repeat.
• Tell real demand from polite interest. Treat complaints, requests, and excitement as things to investigate, not proof anyone will buy.
• Share commercial strategy with sales for your area. Get into deals and renewals early instead of waiting for an invite, point conversations toward things we can build and sell, and earn your sales and CS partners' trust.
• Bring what you hear in the field into pricing, packaging, and positioning.
• Feed deal and renewal lessons back into the roadmap, so what the team builds ties to real pipeline, commitments, or expansion.
• Work with Customer Success on rollout, adoption, and what customers hear before a change reaches their orgs.
• Treat engineering as an equal partner. Agree on the problem and the definition of success up front, then let them own how it gets built.
• When an area spans internal engineering and outside delivery partners, keep the scope lines clear and flag changes before they slip by.
• After launch, measure adoption against the PRD's success criteria and carry what you learn into the next round.

Skills

Product management

PRD writing

Prototype building

AI systems

Customer discovery

Cross-functional collaboration

Tools

Claude

Lovable

Cursor

Job description

TaskRay is seeking a senior Product Manager to define and drive the AI/agent roadmap for onboarding and revenue acceleration in Salesforce. You’ll translate real sales scenarios into clear requirements, design for agents and workflows, and collaborate with Sales, CS, Engineering, and Solutions.

You will influence product direction with customers and executives alike. You’ll own discovery, PRD creation, prototyping, and early customer tests, helping shape a new AI-driven post-sale workflow