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 Empathy

Requirements

• 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).

Technical Program Manager