Sr. Director, Marketing Program Management

Tubi•Los Angeles, CA

11h•Hybrid

About The Position

Tubi is seeking a Senior Director, Program Management to serve as the operating backbone of its global Marketing organization. Reporting directly to the CMO, this leader will build and steward the operating model for planning, resourcing, funding, sequencing, and delivering marketing programs and go-to-market efforts across all marketing functions and international markets. The role partners with growth, communications, B2B and Brand marketing, and regional teams, and is accountable for the planning process, marketing budget, resourcing model, and operating systems and tooling. It will provide the marketing leadership team with clear visibility into deliverables, costs, ownership, timing, dependencies, trade-offs, and decisions requiring leadership attention. This role is expected to redesign program management around the opportunities enabled by AI. It owns the end-to-end marketing GTM operating model, planning cadence, cross-functional launches, international operating framework, marketing budget and resourcing, agency and vendor operations, marketing workflow and technology stack, reporting, and operating standards. It also leads a global program management team and serves as a senior partner to the CMO and marketing leadership team. The position is hybrid and based in Tubi’s San Francisco or Los Angeles office. The employee must be willing to travel to the office two days per week. The role pays $201,800–$288,300 annually in high-cost labor markets such as Los Angeles, New York City, and San Francisco, with the final offer dependent on education, skills, experience, and location. It is also eligible for an annual discretionary bonus, long-term incentive plan, and benefits.

Requirements

12+ years of experience in program management, marketing operations, or GTM operations.
At least 5 years of experience building and leading teams.
Experience at a high-growth technology company or a major agency, operating across multidisciplinary teams spanning brand, creative, growth, product, data, and engineering.
Proven ownership of a large marketing budget and a resourcing model spanning internal teams and external partners.
Demonstrated international scope, including running programs across multiple markets and understanding localization, regional autonomy, and time zones.
Deep systems and tooling fluency, including selecting, implementing, and driving adoption of workflow and marketing operations platforms.
Hands-on, demonstrable AI proficiency, including concrete examples of workflows rebuilt with AI and their results.
Exceptional executive communication skills, including the ability to distill a complex portfolio into a clear one-page narrative for a CMO or executive team.
Comfort with ambiguity and a bias to build structure without smothering a creative culture.
Willingness to travel to the San Francisco or Los Angeles office two days per week.

Nice To Haves

Experience in streaming, media, entertainment, or another consumer subscription or consumer technology business.
Experience standing up a program management function from scratch.

Responsibilities

Own the end-to-end marketing go-to-market operating model, from campaign intake and prioritization through briefing, launch, measurement, and retrospective, across functions and markets.
Run annual, quarterly, and campaign-level planning cadences that turn CMO strategy into a sequenced, resourced, and committed roadmap.
Drive cross-functional launches with Content, Product, Engineering, Data, Ad Sales, Legal, and Finance, clarifying scope, dependencies, decision-making, and timing.
Develop an operating framework for international markets that supports local relevance and regional speed while sharing processes and learnings across markets.
Establish a single source of truth for the marketing calendar, program status, risks, decisions, key work, and learnings across markets.
Own the marketing budget process with Finance, including building, tracking, and reforecasting the budget and connecting spend to outcomes.
Build and maintain a resourcing model covering internal teams, agencies, and contractors, with visibility into capacity, utilization, and investment levels.
Partner with functional leaders on agency and vendor operations, including scoping, statements of work, performance reviews, and consolidation decisions.
Make funding, deferral, and cancellation trade-offs visible to the CMO and marketing leadership team.
Own the marketing workflow and technology stack, including project management, creative operations, asset management, briefing, approvals, and reporting.
Consolidate and simplify fragmented tools into a coherent, usable system, prioritizing adoption and usability over adding tools or processes.
Build reporting and dashboards that provide leadership real-time visibility into delivery, spend, capacity, performance, and outcomes.
Define and steward standards for briefs, intake, naming, taxonomy, approval paths, and definitions of done.
Identify and eliminate duplicate reporting, manual status chasing, unnecessary handoffs, and recurring meetings that can be replaced by better systems or clearer ownership.
Lead a global program management team and develop managers and individual contributors across functional teams.
Partner with the CMO and marketing leadership team, preparing leadership reviews, business updates, and executive-level marketing narratives.
Raise organizational operating effectiveness, enabling the team to work faster with greater clarity and less friction.
Redesign workflows around AI by identifying and deploying automation or agent assistance for briefing, status reporting, competitive tracking, localization, quality assurance, and asset routing.
Evaluate and deploy AI tools across the marketing stack, considering build-versus-buy choices, cost, data governance, and brand safety.
Use AI daily for work such as synthesis, planning, forecasting, documentation, and analysis, and model AI fluency for the organization.
Upskill the marketing organization by establishing practical AI guidelines, training, and responsible-use guardrails in partnership with Legal and Security.
Measure AI investments against cycle time, cost per output, and quality.