MindTickle · via Lever
Product & Engineering Operations Manager
Pune · India · On-site
Job description
Who we are Mindtickle is the leading AI-powered revenue enablement platform, helping sales teams learn faster, practice smarter, and perform at their best. We bring together onboarding, training, coaching, content, digital sales rooms, conversation intelligence, and AI role-plays into one platform so revenue teams have everything they need to build winning sellers. Global companies, like Fortune 500 organizations, trust Mindtickle to support their revenue teams. Customers and industry analysts have also recognized us. G2 has ranked us the #1 Sales Training & Onboarding platform for 28 consecutive quarters, and Forrester has recognized Mindtickle as a Leader in revenue enablement. Mindtickle was also recognized as AI-Based Sales Solution of the Year by the 2025 AI Breakthrough Awards and has received Stevie Awards for Technology Innovation and Customer Support Excellence. At Mindtickle, we're helping companies create high-performing revenue teams, and we're looking for people who want to help shape what's next. 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.
Responsibilities
- 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.
- 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.
- Drive key meetings and events, including goal reviews, QBRs, and retrospectives.
- Program manage key initiatives led by Product & Engineering leadership and provide visibility and progress updates.
- Assist the leadership team in preparing presentations and documents for board meetings, leadership summits, and customer escalations.
- Drive or assist in high-priority initiatives as defined in consultation with the COO and Product & Engineering leaders.
- Assist in cross-team projects as required.
Requirements
- 4–5 years of total experience in Consulting, Strategy and Operations, CEO/CPO office roles, or with a VC firm—with a track record of consistent, outstanding achievements.
- Track record of working on complex, high-impact projects directly with engineering teams.
- Has the drive to work in a hands-on operations and strategy role. Comfortable handling ambiguity, shifting gears when needed, and executing without the complete picture.
- Ability to prototype automations and workflows independently—using low-code tools, AI assistants, or scripting—without needing to file an engineering ticket for every operational improvement.
- Data fluency: Comfortable with SQL or BI tools (Looker, Metabase, Tableau) to self-serve on operational analytics rather than waiting on a data team.
- Be a collaboration catalyst: Ability to create clarity when none exists, learn quickly, take initiative, drive complex projects, and get things done.
- Ability to communicate complex ideas effectively—both verbally and in writing—across stakeholders and C-level executives.
- Strong demonstrated experience in establishing processes across the organization.
- Familiarity with the software product development lifecycle and related processes.
- Entrepreneurial mindset: Drives projects on a cadence through collaboration, not authority.
- Experience with change management when rolling out new tools or processes to engineering teams.
- Familiarity with product analytics tools (Amplitude, Mixpanel, Pendo) and how to leverage them for roadmap decisions.
- Prior experience in a SaaS or B2B product company.
- Exposure to OKR frameworks and modern goal-setting methodologies.