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 Mindtickle is looking for an experienced Senior Technical Program Manager (TPM) for our Enterprise SaaS platform. As part of the Platform Engineering team supporting our Enterprise SaaS platform, you will play a critical role in delivering a consistently world-class customer experience. You will take full end-to-end ownership of driving and orchestrating program execution, ensuring seamless alignment across product, design, engineering, and cross-functional teams to deliver high-impact outcomes. In the evolving landscape of AI, your focus will be on eliminating execution roadblocks, managing risks, enhancing efficiency, and driving delivery excellence with a strong lens on scalability, reliability, and business outcomes. We are looking for a self-driven, detail-oriented TPM having strong technical depth - someone who thrives on solving complex engineering challenges, champions quality, and brings a collaborative, hands-on leadership style to cross-functional teams, and drives modern practices in the AI enabled world that demands not just technical execution but systems thinking, trust-building, strategic alignment, and driving impactful business outcomes in an accelerated way. What’s in it for you?: Drive the delivery and execution of platform engineering roadmap (multiple medium to large-scale, complex projects) by imbibing a strategic outlook from the outset and by partnering with engineering, product, design, QA, DevOps and other cross-functional teams. Own timelines, risk mitigation, and stakeholder alignment across all levels, fostering transparent communication around shared outcomes and customer expectations. Drive AI-first program thinking by grounding decisions in metrics, facts, and structured narratives to ensure strategic alignment. Identify dependencies (cross-stream) and risks early and mitigate them before they become a crisis. Ensure smooth execution of complex programs or programs with cross-stream dependenciesCoordinate efforts across data engineering, ML, infra, security, compliance, and product teams. Facilitate technical discussions around architectural trade-offs, scaling challenges, and system performance with the goal of unblocking teams. Build and institutionalize reusable frameworks and tools to enable predictable, repeatable execution in a fast-paced, dynamic environment. Periodically drive the health of the systems, Operational Readiness, and Incident Response Management. Work closely with engineering leaders to define, implement, standardize and continuously evolve the practices. Foster a culture of agility, adaptability, resilience, speed, and continuous improvement, ensuring good practices and light-touch processes that accelerate from planning, execution, to launch and successful landing. We’d love to hear from you, if you:: Minimum relevant experience in TPM role: 8-10 years of experience, preferably in an enterprise SaaS/Cloud architecture. Skilled and experienced in driving large-scale platform engineering initiatives involving cross-functional teams, multiple stakeholders, and high business impact. Past experience in establishing and driving engineering productivity metrics and transformation. Ability to manage fast-changing priorities and bring clarity to ambiguity, common in AI development cycles. Beyond the strong foundational TPM skills, possesses a strong technical foundation in: System Design and Architecture Distributed systems and microservices architecture API design principles (REST, GraphQL, gRPC) Performance, Scalability and Security Knowledge of Authentication vs Authorization, and Enterprise Integrations SSO protocols (SAML, OAuth 2.0, OpenID Connect) Identity & Access Management (IAM) frameworks Multi-Factor Authentication (MFA) & Role-Based Access Control (RBAC) Just-in-time (JIT) provisioning and SCIM (System for Cross-domain Identity Management) Observability and Monitoring: Exposure to APM tools like Datadog. Key Skills: Structured problem solver who breaks down complex challenges into logical, actionable components. Strong product and business mindset with a clear understanding of the 'Why' behind initiatives, ensuring engineering efforts align with real customer needs and market opportunities. Proficient in leveraging AI tools and LLM-based solutions to enhance program efficiency, automation, and team productivity. Deep expertise in Agile and Lean methodologies, with experience driving their adoption across large-scale, cross-functional programs. Skilled in configuring and automating complex workflows and dashboards in project management tools like Jira, with proficiency in JQL.