GTM Strategy & Operations, Frontier

Key responsibilities

Run launches

• Serve as GTM DRI for product and model launches: own account selection for pre-launch, coordinate field readiness across scaled pre- and post-sales teams, and run the launch-week operating room with extreme ownership.
• Synthesize customer adoption signal (usage patterns, migration behavior, qualitative feedback from the field) into actionable reads for executive leadership across the company
• Design and run the field response loop: how AE, CS, Applied AI and customer response and feedback gets captured, triaged, and routed to the teams who can act on it

Evolve the NPI methodology

• Design and iterate GTM's NPI methodology across both standard releases and managed-access programs, including operating cadence, roles and handoffs with field teams, and the bar for launch readiness
• Carry the executive reporting cadence for launches: what leadership teams see, how often, and how we make adoption trends legible early as well as retrospectively in a continual sprint environment

Partner across the company

• Act as GTM's primary interface to Product S&O and Research on launch planning, ensuring commercial readiness is sequenced with product / model readiness
• Work with Sales Strategy & Operations partners, Applied AI, and Customer Success on field execution, ensuring the launch motion lands consistently across segments and regions
• Partner with Capacity teams on rate limits, provisioning, and capacity planning for account cohorts, assessing capacity-efficiency opportunity and executing against it with customer value at the core
• Collaborate on protect-play targeting, sequencing, and post-launch competitive response when external launches and ours overlap

Minimum qualifications

• Experience in product operations, PMM operations, release management, management consulting, or GTM strategy & operations
• Built and run high-stakes, operations-heavy programs with many cross-functional dependencies at a high-velocity product company, with a track record of turning effective heroics into a repeatable, scaled methodology
• Ability to quickly weigh, select, and execute the balance between business, safety, and repeatability considerations
• Written for and presented to senior executives; you can produce the readout leadership reads and hold the room with Product, Research, and Finance counterparts
• Exceptional analytical skills, rooted in data but never without corresponding actionable insights. You can design the metrics and reporting that make a program legible, distinguish signal from noise in a messy week-one read, and work with analytics engineering teams to evolve data design to be fit for purpose
• A bias toward extreme ownership - you see the gap, you fill it, and you hold the outcome regardless of where the org lines fall
• Bachelor's degree required

Preferred qualifications

• Strong analytical foundation: SQL and code-level data proficiency, sophisticated modeling in Sheets or Excel, and experience with BI tools (Looker, BigQuery, or similar)
• Experience at an AI, developer-tools, or API-first company with consumption-based pricing (ideally as well as B2B SaaS)
• Strong familiarity with, if not direct experience in, commercial roles (sales, rev ops, product marketing) or product management in addition to operations
• Familiarity with safety, trust & safety, or security-review processes in a product context
• Demonstrated success operating in ambiguity at a company where the product and the operating model are both changing fast