Director, AI Product Strategy & Growth

Bounteous•New Jersey, NJ

1d•Remote

About The Position

Bounteous is hiring an AI product transformation leader to own strategy, roadmaps, and business impact across a portfolio of AI-enabled products for an enterprise AI program. This multi-product leadership role is accountable for each product’s roadmap and experimentation agenda, measurable adoption and value, and reporting outcomes to senior executives and client stakeholders. The role leads executive-level program governance, stakeholder engagement, and return-on-investment oversight for active engagements. The Director partners with engineering and AI/ML teams to translate strategy into shipped capabilities while retaining accountability for outcomes. They lead product-led growth, design experiments that establish causal impact, align product priorities with go-to-market and business leadership, and establish frameworks to track adoption and value realization. The role also advises clients and business stakeholders, directs Product Managers and UX/UI Leads alongside matrixed teams, and serves as the primary contact for program direction and results. The position includes information security responsibilities: promoting security practices, identifying and reporting risks, evaluating data handling for privacy and protection compliance, and integrating data protection throughout the information lifecycle. The listed salary range is $160,000–$180,000 per year. The posting states that Bounteous is willing to sponsor eligible candidates for employment visas and identifies the position as remote through the #BI-Remote and #LI-Remote tags.

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 of 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, with 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 degree, MBA, or advanced degree.
Experience with telecom-specific technologies such as OSS/BSS, 5G, AI/ML, or 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 roadmaps across the AI product portfolio, prioritizing based on market opportunity and product, channel, and segment penetration.
Partner with engineering and AI/ML teams to translate strategy into shipped capabilities while remaining accountable for outcomes.
Own the portfolio’s executive governance cadence, preparing and defending performance, roadmap decisions, and investment tradeoffs.
Build and maintain reporting structures used by senior leadership to evaluate the program and for 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 results in business terms.
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 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.
Identify, assess, and report security risks and their impact on the confidentiality, integrity, and availability of information assets.
Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards such as GDPR and CCPA.
Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information.