# Jobgether — Director, AI Product Strategy

- Generated: 2026-09-16 08:35:36 AM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/4466848226/
- Provider: LinkedIn
- Posted: approximately 2026-09-16 05:35 AM EDT (from '3 hours ago')
- Elapsed since posting: represented by the provider's relative posting label and approximate Eastern timestamp when available
- Applicants: Be among the first 25 applicants
- Work model/location: Fully remote — United States; end employer is unidentified
- Compensation: $170,000-$200,000 annually
- Travel: Not disclosed
- Positioning track: Technical IC
- Fit outcome: PASS — 87%

## Direct-match strengths

Agentic workflows, LLM products, deterministic/probabilistic design, AI governance, workflow transformation, product lifecycle, client consulting, executive storytelling, multidisciplinary delivery, cloud/LLM ecosystems, and production implementation.

## Hard or material gaps

Jobgether does not identify the end employer. Keith's strongest product record is enterprise AI/SaaS rather than large-scale consumer web/mobile products, and formal digital-agency tenure is narrower than his broader consulting experience.

## Evidence map

1. Architect orchestrated AI-agent workflows (weight 3, evidence 3/3) — Built production agentic workflows across 70+ automations.
2. Own discovery through launch and evaluation (weight 3, evidence 3/3) — Direct customer discovery, requirements, architecture, delivery, launch, evaluation, and operations.
3. Applied agentic AI, LLMs, and AI governance (weight 3, evidence 3/3) — Direct current production experience.
4. Deterministic and probabilistic system design (weight 2, evidence 3/3) — Directly combines LLM reasoning, retrieval, agents, and deterministic orchestration.
5. Client-focused consulting and executive storytelling (weight 3, evidence 3/3) — Advised 200+ enterprises and led senior-stakeholder workshops and delivery.
6. Large-scale consumer web/mobile digital products (weight 3, evidence 1/3) — Enterprise SaaS and web products are direct; large consumer/mobile scale is limited.
7. Cloud and LLM ecosystem breadth (weight 2, evidence 3/3) — Direct AWS, Vertex AI, OpenAI, Claude, Bedrock, LangChain, and LangGraph experience.
8. Lead multidisciplinary strategy, design, and engineering teams (weight 2, evidence 2/3) — Strategy and engineering leadership are direct; formal Product Design leadership is less documented.

## Keyword diagnostic

Strong agentic-AI product, governance, workflow, consulting, executive, cloud, and production-delivery alignment; consumer digital-product and agency depth are partial.

## Full normalized job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Director, AI Product Strategy based in United States.
This role sits at the intersection of product management, business strategy, design, and technology.
You’ll lead multidisciplinary teams in creating and launching sophisticated digital products and AI-powered experiences.
The position combines strategic leadership with hands-on involvement in emerging AI technologies, including agentic workflows and large language models.
You’ll work directly with senior client stakeholders to translate complex business challenges into scalable digital and AI solutions.
From discovery and research through validation, development, and launch, you’ll guide the full product lifecycle.
The role offers the opportunity to shape digital product vision while transforming both consumer experiences and internal business operations.
You’ll thrive in a fast-paced, collaborative environment where strategy and delivery are closely connected.
Accountabilities
Architect end-to-end, orchestrated AI agent workflows designed to transform consumer-facing digital experiences and complex internal client operations.
Own the full product lifecycle, from discovery, research, strategy, and requirements gathering through validation, design, technology delivery, and launch.
Translate complex business requirements and emerging AI capabilities into clear product strategies, compelling narratives, and measurable business outcomes for senior executives.
Partner closely with Design, Engineering, Program Delivery, Marketing, and Client Partnership teams to establish direction, iterate on solutions, and validate technical feasibility.
Lead multidisciplinary teams spanning strategy, design, and technology while creating a collaborative and fast-paced delivery environment.
Serve as a trusted advisor and subject matter expert during client engagements, applying strong agency and consulting discipline to complex product challenges.
Build close partnerships with senior client stakeholders, balancing business requirements and operational logic with user needs, goals, and experiences.
Apply hands-on knowledge of AI tools and emerging technologies to develop practical solutions that move beyond experimentation and into real-world implementation.
Requirements
Proven experience working within a digital agency, consulting, or similarly client-focused environment.
Deep product management or product ownership experience, with a track record of shipping large-scale, consumer-facing digital products across web, mobile applications, CMS, or enterprise platforms.
Practical, applied experience with modern AI technologies, including agentic design, AI governance, workflow transformation, and AI-powered product development.
Demonstrated ability to take AI concepts from experimentation or proof-of-concept stages through production, launch, and evaluation.
Strong understanding of the differences between deterministic and probabilistic systems, including how to design effective products and workflows around these characteristics.
Hands-on experience or strong working knowledge of cloud and large language model ecosystems, including Google Cloud, Vertex AI, Gemini Enterprise Agents, Anthropic Claude, OpenAI, and Microsoft Copilot.
Ability to bridge strategic thinking with hands-on delivery and technical problem solving.
Strong communication and storytelling skills, with the ability to explain sophisticated technical and AI concepts to senior executives and non-technical stakeholders.
Demonstrated leadership of multidisciplinary teams and the ability to collaborate effectively across strategy, design, engineering, delivery, marketing, and client-facing functions.
Strong business judgment, product thinking, problem-solving ability, and comfort operating in ambiguous, fast-moving environments.
Benefits
Annual salary range of $170,000–$200,000 USD.
Fully remote position within the United States.
Opportunity to work at the intersection of AI, product strategy, design, and technology.
Exposure to cutting-edge AI tools, agentic workflows, cloud platforms, and large language model ecosystems.
Opportunity to lead high-impact digital transformation initiatives for complex client organizations.
Collaborative, multidisciplinary working environment bringing together strategy, design, technology, and product expertise.
Inclusive workplace focused on creating an environment where employees can contribute authentically.
Accessible and barrier-free recruitment and employment processes, with accommodations available when needed.
How Jobgether Works
We use an
AI-powered matching process
to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice:
By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

## Artifact metadata

- Resume: https://bit.ly/4h8iifc
- Cover letter: https://bit.ly/3T2NaFW
- Validation: PASS — 2-page resume (914 words), 1-page cover letter (210 words); PDF geometry, bounds, annotations, links, and visual pages verified.
- Google Drive used: No