1. Strategic Program Management
Work directly with the CEO to translate high-level business objectives into actionable program plans and measurable outcomes.
Partner with Product and Engineering leadership to define and align quarterly OKRs milestone timelines and key success metrics.
Structure and oversee large cross-functional initiatives spanning Product Data AI and Customer Success ensuring clear ownership sequencing and progress visibility.
2. Cross-Functional Delivery & Execution
Own the end-to-end execution rhythm : from planning to delivery to post-release validation.
Track progress across engineering pods (Backend AI Data Integration QA) and proactively identify interdependencies or bottlenecks.
Ensure deliverables are production-ready before handoff to Customer Success and Implementation teams aligning delivery with customer onboarding and SLAs.
Work with implementation leads to bridge gaps between product expectations and real-world deployment nuances.
3. Customer-Centric Alignment
Interface directly with Customer Success to understand deployment challenges customer feedback and usage data ensuring internal teams act on insights swiftly.
Help translate customer or field-level feedback into prioritized validated product enhancements.
Go beyond whats said analyze patterns connect signals and identify root causes to preempt risks or emerging issues before they surface.
4. Communication Reporting & Decision Support
Be the primary channel between cross-functional teams and the CEOs office delivering clear weekly reports on progress blockers and upcoming risks.
Drive leadership-level visibility into execution through structured dashboards metrics and post-mortem summaries.
Facilitate critical decision meetings with crisp insight-backed updates ensuring leadership can make timely trade-offs.
5. Process Design & Operational Excellence
Institutionalize lightweight but disciplined delivery processes that balance startup agility with predictability.
Drive continuous improvement across sprint planning retrospectives and dependency management.
Ensure every initiative has well-defined success criteria measurable outcomes and accountability owners.
6. Leadership & Influence
Demonstrate executive maturity and the ability to influence without authority guiding teams through clarity context and conviction.
Act as an execution coach to team leads helping them structure goals track outcomes and manage priorities effectively.
Embody Folds leadership values : Speed Clarity Ownership and Empathy
Requirements
812 years of experience in technical program management or delivery leadership preferably in SaaS AI or large-scale data platform environments.
Strong background in engineering data systems or cloud-based applications with the ability to engage deeply on technical topics.
Demonstrated success managing cross-functional product delivery in dynamic high-growth startups or scale-ups.
Deep familiarity with software development life cycles Agile methodologies and sprint-based planning.
Proven experience working directly with CXO-level stakeholders including executive reporting board preparation and strategic planning.
Track record of leading through influence managing multiple teams toward shared outcomes.
Strong analytical mindset and ability to look beyond surface feedback connecting dots across inputs to identify systemic issues or opportunities.
Excellent communication and storytelling skills both written and verbal.
Good-to-Have
Experience in healthcare or value-based care domains especially with EHRs FHIR or clinical data systems.
Familiarity with customer-facing deployments and large-scale implementation coordination.
Prior exposure to AI / ML program delivery data pipelines (BigQuery dbt Postgres) or cloud architecture (AWS / GCP).
Certification in Agile PMP or equivalent project leadership frameworks (preferred not required).
Required Skills :
Experience in healthcare or value-based care domains especially with EHRs FHIR or clinical data systems. Familiarity with customer-facing deployments and large-scale implementation coordination. Prior exposure to AI / ML program delivery data pipelines (BigQuery dbt Postgres) or cloud architecture (AWS / GCP). Certification in Agile PMP or equivalent project leadership frameworks (preferred not required)
Required Education :
812 years of experience in technical program management or delivery leadership preferably in SaaS AI or large-scale data platform environments.
Key Skills
Project Management Methodology,Project / Program Management,Program Management,Management Experience,Microsoft Powerpoint,Project Management,Microsoft Project,Budgeting,DoD Experience,Leadership Experience,Supervising Experience,Contracts
Employment Type : Full Time
Experience : years
Vacancy : 1
Technical Program Manager • Pune, Maharashtra, India