Program Manager Technical Lead

2 days ago

Mangalore, Karnataka, India beBeeTechnical Full time ₹ 2,00,00,000 - ₹ 2,30,00,000
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Mindtickle is the leading revenue productivity platform that combines on-the-job learning and deal execution to drive more revenue per rep.

We're proud to be recognized as a Leader in the first-ever Forrester Wave: Revenue Enablement Platforms.

About This Role:

  • You will lead the delivery and execution of platform engineering roadmaps, overseeing multiple medium to large-scale projects with cross-functional teams.
  • Your focus will be on owning timelines, risk mitigation, and stakeholder alignment across all levels, ensuring transparent communication around shared outcomes and customer expectations.
  • You will drive AI-first program thinking by grounding decisions in metrics, facts, and structured narratives to ensure strategic alignment.
  • You will 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 dependencies. Coordinate efforts across data engineering, ML, infra, security, compliance, and product teams.
  • You will facilitate technical discussions around architectural trade-offs, scaling challenges, and system performance with the goal of unblocking teams.
  • You will build and institutionalize reusable frameworks and tools to enable predictable, repeatable execution in a fast-paced, dynamic environment.
  • You will periodically drive the health of the systems, Operational Readiness, and Incident Response Management.
  • You will work closely with engineering leaders to define, implement, standardize, and continuously evolve practices.

Requirements:

  • A minimum of 8-10 years of relevant experience in TPM roles, preferably in an enterprise SaaS/Cloud architecture.
  • You should be 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.
  • You should be able to manage fast-changing priorities and bring clarity to ambiguity, common in AI development cycles.
  • Beyond strong foundational TPM skills, you possess 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.

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