Job Description
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 what’s 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 CEO’s 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 Fold’s leadership values : Speed, Clarity, Ownership, and EmpathyRequirements
8–12 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).Requirements
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)