Senior Product Manager

TaskRay•Denver, CO

12d•$140,000 - $180,000•Remote

About The Position

TaskRay is a leader in post-sale work management within the Salesforce ecosystem, aiming to provide a flawless customer experience after a deal is closed. The company focuses on making the transition from sales to customer success seamless, enhancing efficiency and customer experiences within Salesforce. TaskRay values connection, integrity, hunger, and thriving, seeking team members who embody these principles. The role involves owning a product area focused on AI-driven project management, where individuals and agents collaborate. This position is a senior individual contributor role with significant influence, requiring strategy and execution, and offering access to customers, sales, and executives. The role is ideal for someone who wants to shape the future of the AI product category rather than join a large organization with established processes.

Requirements

3+ years in product management for B2B or enterprise SaaS, preferably owning an area from discovery through adoption.
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, an honest read on what LLMs cannot do, experience building evals, and judgment about where a human belongs in an agent's loop.
Strong PRD writing: requirements a team can build from without constant back-and-forth, organized around user goals rather than a preferred solution.
Commercial range: comfortable on discovery calls, in sales conversations, pitching a vision to enterprise buyers before the product exists, and in a QBR.
Experience working where product owns the 'what' and 'why' and engineering owns the 'how', and making that line clearer, not blurrier.

Nice To Haves

Designed agent or conversational experiences and know a good one from a bad one, or worked with agent frameworks, MCP, and products used by machines as much as people.
Forward-deployed, solutions, implementation, or professional-services background.
Time spent building in customer environments.
Salesforce experience: managed packages, AppExchange, or building within platform limits.
Background in onboarding, project management, PSA, or post-sale workflow products, including early-access or design-partner programs.

Responsibilities

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.
Design for how the system fails, including audit trails, permissions, rollback, and evaluation loops, as agents run inside customers' Salesforce orgs.
Use AI tools in personal work (discovery, PRDs, prototypes, analysis) and coach other PMs and product owners on the craft.
Run real discovery by framing questions, designing tests, and spending time with customers and prospects to understand their needs and limitations of current options.
Get from a conversation to a demonstrable prototype in days, often pre-selling the prototype to prove demand.
Map the entire buying group, including the economic buyer, integration owner, procurement, and adoption decision-makers.
Run the design-partner motion for the product area, pre-selling a focused version of the vision to prospects before the product is fully developed.
Set up engagements to ensure learnings translate into repeatable product features.
Distinguish real demand from polite interest, treating complaints, requests, and excitement as subjects for investigation rather than proof of purchase intent.
Share commercial strategy with sales for the product area, engaging in deals and renewals early to guide conversations towards buildable and sellable features.
Earn trust with sales and Customer Success partners.
Incorporate field feedback into pricing, packaging, and positioning.
Feed deal and renewal lessons back into the roadmap to ensure the team's work aligns with real pipeline, commitments, or expansion opportunities.
Collaborate with Customer Success on rollout, adoption, and communication of changes to customers.
Treat engineering as an equal partner, agreeing on the problem and success metrics upfront, and allowing engineering to own the 'how'.
Clarify scope lines when an area involves internal engineering and external delivery partners, and flag scope changes proactively.
Measure adoption against PRD success criteria post-launch and incorporate learnings into future iterations.