Principal Product Marketing Manager - Go-To-Market

Mindtickle is an AI-powered revenue enablement platform that helps sales teams learn faster, practice smarter, and perform at their best. The Principal Product Marketing Manager will own the category narrative, positioning, message architecture, buyer translations, and differentiation strategy for Mindtickle and ElevateOS across the company’s marketing, sales, product, analyst, and executive-facing surfaces.

Responsibilities:

• Build and maintain the answer to why the world needs ElevateOS now. Ladder the portfolio of agentic capabilities into one category idea instead of a portfolio tour. Hold the line on the four questions the market will ask in sequence: why change, why now, why Mindtickle, why not the alternatives. The narrative you write is the one the company defends in front of analysts, boards, and CROs, so it has to survive scrutiny from people who are paid to be skeptical
• Codify master positioning, the differentiation argument, the claim set and the proof each claim rests on. Every downstream artefact draws from this document rather than from a fresh interpretation. You version it as the platform and the market move, you decide what enters and what is retired, and you are the person who says a piece of language is off-architecture. One message architecture feeding many artefacts is the mechanism that stops the company from producing many disconnected deliverables
• Convert the platform story into a specific value story for each buyer: revenue leaders who own win rate, ramp time and forecast confidence; enablement leaders moving from programmatic enablement to always-on agentic enablement; frontline managers who need to coach with evidence rather than anecdotes; sellers who need guidance in the flow of work, before the call and during the deal; buyers who experience the engagement; and CIO and RevOps stakeholders who care about interoperability, governance, integrations and enterprise readiness. Each persona gets pain, trigger, value proposition, proof and objection handling. The bar is that an AE can take it into a live enterprise conversation without translating it first
• Express each capability through the business problem it solves, the impact it creates and the evidence behind it. "Deal Guide gives sellers AI recommendations" fails the bar. "Deal Guide helps managers and sellers identify deal risk early by connecting Salesforce context, buyer questions, stakeholder gaps, competitive intelligence and win-loss patterns into one execution guide" passes it. Apply the same test to every claim: does the claim communicate differentiation, or does it prompt a follow-up question?
• Own why ElevateOS is architecturally different from conversation intelligence tools, content and enablement platforms, LMS incumbents, CRM add-ons and single-purpose AI agents. The argument is structural: others attach AI to content, calls or CRM records, while Mindtickle connects readiness, seller behaviour, buyer engagement and deal execution in one system. Competitive Intelligence owns the tactical layer of battlecards, landmines and counters. You own the architectural argument those tactics are built on, and you own keeping it honest as competitors ship
• Website, sales deck, customer deck, demo narrative, analyst pitch, webinar, executive and board narrative should be recognisably the same story told at different lengths. Drift is the normal state of a fast-moving company, so treat detection and correction as standing work rather than a project. You will audit surfaces, name where the story has fragmented, and drive the fix with the owner of that surface
• Decide what the market should remember about Mindtickle and ElevateOS, in a handful of phrases, and then defend that simplicity against the pull toward more slides, more words and more qualifiers. Polished and verbose is a failure state. The output you are after is language that a seller, a customer, an analyst and a board member can each repeat accurately from memory
• Feed the category thesis and differentiation into analyst briefing cycles and launch moments, leading with the market problem before the product. Analyst Relations owns coverage, relationships and evaluation cycles. Launch commercialisation owns the launch operating system and whether a given launch lands. You own the positioning both of them build on, and you stay close enough to both to know when the story needs to change rather than the execution
• Positioning built from internal product assumptions decays quickly. Work from win-loss patterns, live sales calls, Solution Consulting demo friction, renewal and expansion objections, and analyst perception gaps. Test messages in real conversations rather than in review meetings. Where the field keeps hitting the same objection, that is a positioning defect, and it is yours to fix. Feed differentiation gaps back into roadmap prioritisation so Product hears the market argument, not only the feature request

Requirements:

• 8+ years in product marketing or a closely adjacent discipline, preferably enterprise B2B SaaS, with a track record of operating as a senior individual contributor who owns outcomes end to end
• Demonstrated ability to build positioning and a message architecture from the market problem upward, and to hold a company to one consistent story across every surface over time
• You can express the same platform in the language of a CRO, an enablement leader, a frontline manager, a seller and a RevOps or IT stakeholder, grounded in the pain and the business impact each of them owns
• High standards for precision, and the judgement to know when a claim is sharp enough to differentiate and when it is still a placeholder
• You can explain why a competitor's approach is structurally limited, and you keep that argument current as they ship
• You can align Product, Sales, Solution Consulting, Customer Success, Marketing, and leadership in a matrixed, fast-moving environment
• You set direction, move without waiting for instructions, and are accountable for the outcome rather than the activity. You can do the work yourself at an expert level and design the system that scales it
• You treat AI as the maker for research, synthesis, and repeatable production, and yourself as the checker for positioning judgment and quality. You know which decisions a system can carry out and which require a human
• A self-starter who treats raw, fast iteration as a strength
• Experience in AI, agentic systems, revenue technology, enablement, or adjacent categories is particularly valuable