Product & Engineering Operations Manager
At a glance
Highlights
- Onsite role in Pune
- AI‑powered revenue enablement platform
- Strategic impact on product and engineering roadmap
Heads up
- 4-5 years experience required
- Hands‑on operations with high ambiguity
Why this role might suit you
A candidate with strong consulting or strategy experience and a knack for building low‑code automations can thrive by shaping product and engineering processes at a fast‑growing AI‑driven SaaS company.
Skills
About the role
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 leadership and provide visibility and progress updates.
Assist the leadership team in preparing presentations and documents for board meetings, leadership summits, and customer escalations.
4. Special Projects
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.
NICE TO HAVE:
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.
Our culture & accolades
As an organization, it’s our priority to create a highly engaging and rewarding workplace. We offer tons of awesome perks and many opportunities for growth.
Our culture reflects our employee's globally diverse backgrounds along with our commitment to our customers, and each other, and a passion for excellence. We live up to our values, DAB, Delight your customers, Act as a Founder, and Better Together.
Your Right to Work - In compliance with applicable laws, all persons hired will be required to verify identity and eligibility to work in the respective work locations and to complete the required employment eligibility verification document form upon hire.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Questions about this role
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