Director, AI Product Strategy & Growth

Bounteous•New Jersey, NJ

17h•$160,000 - $180,000•Remote

About The Position

Bounteous is hiring an AI product transformation leader to own strategy, roadmaps, experimentation, and business impact across a portfolio of AI-enabled products for an enterprise AI program. The role is accountable for measurable adoption and value across the portfolio and reports outcomes to senior executives and client stakeholders. It leads executive-level program governance, stakeholder engagement, and ROI oversight for active engagements. The Director partners with engineering and AI/ML teams to translate strategy into shipped capabilities, while retaining accountability for outcomes. The role drives product-led growth, aligns product priorities with go-to-market and business leadership, and establishes frameworks to track adoption and value realization. It also advises clients and business stakeholders on applying the products to specific workflows and goals, and leads Product Managers, UX/UI Leads, and matrixed teams toward shared outcomes without directly owning technical delivery. Bounteous is a global AI services firm with more than 5,000 team members worldwide. It helps organizations design, build, and scale AI-driven products, platforms, and processes. The company is backed by New Mountain Capital.

Requirements

12–15 years of product management experience.
At least 3 years at Director level or above owning an AI-enabled or data-driven product portfolio with direct accountability for a growth or revenue metric.
Track record presenting to and being questioned by senior or C-level leadership and client stakeholders.
Background in management consulting or professional/IT services, such as strategy consulting or systems integration, including experience running executive governance processes.
Demonstrated product-led growth experience and ownership of activation, adoption, or retention/expansion metrics.
At least 3 years of telecommunications industry experience.
Experience with enterprise LLM platforms such as Vertex AI, Claude (Anthropic), or comparable platforms.
Experience with Google Cloud Platform or equivalent cloud infrastructure.
Experience with AI/ML evaluation and observability tooling, including evaluations, monitoring, drift, and quality tracking.
Experience with analytics and BI tools, including SQL, dashboarding, and experimentation platforms.
Executive-grade presentation and reporting skills, including structured governance decks and board-level communication.

Nice To Haves

Master’s, MBA, or other advanced degree.
Experience with telecommunications-specific technologies such as OSS/BSS, 5G, AI/ML, and cloud platforms.
Familiarity with CRM, Sales Enablement, and/or Marketing Enablement Systems.
Prior experience at a renowned or specialized consulting firm.

Responsibilities

Own strategy and roadmap across the AI product portfolio, prioritizing based on market opportunity and current penetration by product, channel, and segment.
Partner with engineering and AI/ML teams to translate strategy into shipped capabilities across products while remaining accountable for outcomes.
Own the portfolio’s weekly, biweekly, or monthly executive governance cadence, preparing and defending performance, roadmap decisions, and investment tradeoffs.
Build and maintain the standing reporting structure used by senior leadership to evaluate the program and by C-level steering committee meetings.
Drive product-led growth for each product, including activation, adoption, and expansion.
Design and run experiments, A/B tests, and controlled rollouts to establish causal impact and quantify business results such as time saved, revenue generated, and conversion lift.
Align product priorities with go-to-market and business leadership to drive adoption in real-world workflows.
Own the adoption and value-realization framework, track usage-to-value conversion, and course-correct when adoption lags.
Advise client and business stakeholders on applying the portfolio to their specific workflows and goals.
Translate ambiguous business problems into structured, dated plans with clear tradeoffs.
Direct Product Managers, UX/UI Leads, and matrixed teams toward shared outcomes without directly owning technical delivery.
Serve as the primary trusted point of contact for client and business stakeholders on program direction and results.
Promote and enforce awareness of information security practices, including acceptable use of information assets, malware protection, and password security protocols.
Identify, assess, and report security risks and their impact on the confidentiality, integrity, and availability of information assets.
Evaluate how data is stored, processed, and transmitted to support compliance with data privacy and protection standards, including GDPR and CCPA.
Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information.