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Senior Technical Program Manager
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Job Description
How You Will Make a Difference Day to Day:
- Bootstrap the TPM function: Define the foundation—processes, cadences, and tooling that match Kandji’s pace and culture
- Architect scalable frameworks: Standardize cross-product planning, risk management, and roadmap alignment.
- Drive cross-functional programs: Lead end-to-end execution of complex, technical initiatives including AI-integrated features and backend systems.
- Hands-on data & tooling: Extract data from Datadog, Jira, GitHub, internal systems; build and manage dashboards (using Hex, Omni, Looker, Tableau, or custom scripts).
- Technical collaboration: Engage with Engineering and Product for scoping, architecture, and technical tradeoffs with credibility. Spot blockers early and unblock progress.
- Accelerate AI adoption: Partner with engineering and product teams to scope and deliver ML/AI-powered capabilities, including model evaluation pipelines, RAG systems, and intelligent automation.
- Strategic program leadership: Report progress, surface risks, and inform roadmap decisions at exec-level; tie programs to OKRs and business outcomes.
- Enable Executive decision-making: Provide crisp updates to executives, surfacing risks and program health; drive strategic prioritization across the product portfolio.
- Bring clarity to ambiguity: Cut through noise, provide structured recommendations, and support go/no-go decisions.
We’d love to hear from you if you have:
- 5+ years in Technical Program Management at high-growth SaaS or infrastructure-first companies.
- Experience building tooling and dashboards from backend data sources (e.g., Jira APIs, SQL, Python).
- Track record of balancing velocity and predictability in program delivery.
- Proven ability to manage complex, cross-functional programs with a high degree of autonomy.
- Strong technical fluency. You can speak technical architecture, understand tradeoffs, and collaborate effectively with engineers.
- Hands-on experience building dashboards and tooling using backend data sources (e.g. Jira APIs, SQL, Python).
- Exceptional communication and organizational skills. Ambiguity doesn’t faze you - you simplify complexity and keep stakeholders aligned.
- A bias for action and a pragmatic, delivery-focused mindset.
- Required to work on-site 5x a week in our Miami office (Coral Gables).
Nice to haves, but NOT required:
- Degree in Engineering or Computer Science.
- Experience in hypergrowth environments (Series C–D or beyond).
- Experience delivering ML/AI features into production or partnering closely with applied AI teams.
- Familiarity with responsible AI practices, SOC2/GDPR compliance, or privacy-related initiatives.
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