Senior Technical Program Manager
Pune, MaharashtraFull-TimeManagerProduct / Project
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.
