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Bengaluru, Karnataka, India
Hybrid
Mindtickle is looking for a Senior Product Manager for Seller Mastery - the team that exists to make every sales rep measurably better at their job:
AI Roleplays - sellers practice real selling situations against an AI buyer, shaped around their skill gaps, their market and their live deals.
AI Tutor - each seller gets an interactive personalized learning path built just for them.
Both are built on cutting-edge Agentic AI technology: the system decides what a rep needs based on skill gaps and deal context. It runs the interaction and judges the result.
The hard part is creating a feedback loop that helps a learner improve with every attempt. This involves:
understanding the task they were doing,
knowing what success actually takes,
evaluating how well the task was performed, and
turning that into feedback they will act on.
You own that loop end to end: product direction, roadmap, customer relationships, and business outcomes.
Product ownership
Own product direction and roadmap — what a rep practises, how each attempt is evaluated, and the feedback that follows.
Define what good looks like for a given selling task, and earn customer agreement on it rather than asserting it.
Make improvement visible attempt over attempt, and build the manager- and leader-facing analytics that prove it. Completions and usage are not the outcome.
Say plainly what the platform is missing when it blocks a customer outcome, and get it prioritised.
Customer and market ownership
Represent the product yourself in pre-sales, escalations and the hard conversations — not behind an account team.
Run design partnerships with enablement leaders and senior revenue leaders, and come back with decisions rather than notes.
Build conviction for new bets and go test the assumptions underneath them.
Go-to-market and stakeholder ownership
Own the launch with product marketing, sales, enablement and customer success — positioning, messaging, and the internal enablement that makes the product sellable and adoptable.
Keep stakeholders across the company aligned on what you are building and why, and keep leadership current without being asked.
Contribute to pricing and packaging, and argue business decisions in terms of deal and renewal impact, not feature counts.
AI-native ways of working
Treat evaluation as the improvement engine — error analysis, quality baselines, and knowing when a change actually made the output better.
Prototype several paths quickly instead of debating them at length.
Work with AI agents in your own practice, and read model output with a sceptical eye.
6+ years of experience, 4+ as a product manager on technology products, ideally B2B SaaS.
Built something 0→1 - a company, a product line, a first version, a PM function. That instinct matters more to us than the size of your last org.
Technical depth - an engineering background (Engineering Degree in Computer Science or related field), past experience in a technical role (software developer or equivalent), or past experience in building products yourself.
Worked on a B2B SaaS product, so admin surfaces and rollout are familiar problems.
Took a product to market with marketing, sales, enablement and customer success.
Owned hard customer and exec conversations - design partners, QBRs, pre-sales, escalations.
Defined metrics that did not exist yet, and been honest about what the data cannot tell you.
Clear writing. Most of the influence in this role travels as a document.
Built products that judge people — conversation intelligence, assessments, certification, proctoring, performance or competency scoring.
Data-heavy B2B products where the buyer, the admin and the end user are three different people.
Shipped GenAI to production, including the unglamorous parts: evaluation, quality regressions, cost and latency.
Background in sales enablement, revenue intelligence or corporate L&D.
Familiarity with what makes AI products fast, reliable and affordable at scale.