Product & Engineering Operations Manager

Who we are

Mindtickle is the leading AI-powered revenue enablement platform that combines on-the-job learning and deal execution to drive behavior change and get more revenue per rep. Mindtickle is recognized as a market leader by top industry analysts and is ranked by G2 as the #1 sales onboarding and training product.

Our commitment to innovation has also earned us the "AI-based Sales Solution of the Year" award in the 8th annual AI Breakthrough Awards program ( PR Newswire) , and a Gold Stevie Award for Sales and Customer Service ( Mindtickle )- recognition of our dedication to both product excellence and outstanding customer support.

Job snapshot

As a Product & Engineering Operations Manager at Mindtickle, you will play a pivotal role in steering our organization’s growth trajectory. This is an opportunity to make a significant impact on our company’s strategic direction and contribute to our ongoing success in the dynamic world of technology and innovation.

POSITION RESPONSIBILITIES

1. Strategy Deployment and Execution

Own the overall Roadmap planning exercise. Ensure that the roadmap vision is aligned and an execution plan is in place to ensure initiatives are planned, prioritized, released, and communicated effectively.

Integrate customer feedback, support data, and product usage signals into the prioritization process, using tooling where possible to reduce manual synthesis.

Plan, track, and measure Goals in R&D. Ensure goals are aligned with leadership, updated on a cadence, and risks are called out proactively.

Set up automated dashboards and alerting so risks and blockers surface between review cycles, not just during them.

Run horizontal initiatives to bridge process gaps. Identify gaps in the current ‘As-Is’ process, suggest corrective actions, and work with teams collaboratively to deploy them.

Ensure that product and engineering managers have the right tool stack and are using it efficiently. This includes evaluating new tools (including AI-powered developer tools), measuring their impact, and maintaining data hygiene across the stack.

2. Operational Efficiency & Automation

Identify repeatable, high-effort operational processes and build lightweight automations to reduce overhead, using low-code tools, scripts, or AI-assisted workflows as appropriate.

Examples: automated release notes, sprint summary digests, meeting action-item tracking, intelligent routing of cross-functional requests.

Build and maintain internal knowledge systems that make it easy for teams to self-serve on process documentation, past decisions, and institutional knowledge.

3. Support Leadership for Key Initiatives / Meetings

Drive key meetings and events, including goal reviews, QBRs, and retrospectives.

Program manage key initiatives led by Product & Engineering