Full Time · US-based remote · WFH 4–5 days/week

Who we are

We create research-driven narratives that transform. Harnessing unparalleled creativity and uncompromising precision, we provide storytelling research, insights, and strategy for the most influential and ascendant companies in tech, entertainment, non-profit, and public policy. From messaging architectures to brand platforms, policy to product, our team of strategy, messaging, design, and research experts hone communications insights to craft stories that help our clients confidently tell their own. At the heart of our organization is our mission to be an indispensable strategic partner with diverse, innovative, and global capabilities.

We’re seeking a Director, AI Product Strategy & Implementation to join us in continuously raising the bar to do just that.

The opportunity

As Director, AI Product Strategy & Implementation, you own Storyline’s AI acceleration roadmap across our full research and storytelling stack — internal workflows and client-facing offerings. This role blends hands-on building with systems thinking: you identify the highest-leverage opportunities for AI agents, copilots, and automations across our end-to-end workflow, rapidly prototype and deploy practical solutions, and drive adoption through training, enablement, and change management.

In the near term, your focus is execution: capturing low-hanging fruit across recruiting, fieldwork, data processing, analysis, synthesis, storytelling, and QA — turning dozens of “we should automate that” moments into real tools the team uses every week. In the medium term, you define and help build the integrated system: a coherent set of AI-enabled capabilities that ladder up into a durable internal operating advantage and differentiated client-facing products (e.g., synthetic audiences, custom reporting and storytelling formats, AI-assisted analytics, and insight-to-narrative pipelines).

The ideal candidate is deeply fluent in the current AI tooling landscape (Claude, Gemini, OpenAI, and modern IDE and agentic workflows), technically capable enough to prototype and ship, and operationally strong enough to drive sustained adoption across a high-performing team.

We strongly value candidates from the market research, insights, and strategic consulting industries who understand qual and quant workflows, recruiting operations, survey design, analysis, and client deliverables firsthand. Candidates with this domain fluency will have a meaningful advantage — they can identify high-impact opportunities faster and build solutions that reflect how research teams actually work. That said, generalist technologists with strong engineering instincts, a track record in applied AI, and the ability to learn the domain quickly are also welcome.

What you'll do

AI strategy and roadmap. Identify, prioritize, and sequence high-impact AI opportunities across recruiting, qual/quant workflows, analysis, synthesis, and storytelling.
Agent development and deployment. Build and deploy practical AI agents and workflow automations; prototype quickly, validate with users, harden for reliability, and roll out with documentation and training.
Systems architecture. Create an integrated system — not a grab bag; define standards for tooling, prompts, versioning, evaluation, access controls, and lifecycle management so solutions are reusable, maintainable, and coherent.
Knowledge infrastructure.Build and maintain the foundational AI infrastructure layer — shared knowledge base (vector databases, structured metadata, document archives) that powers all agents and tools; own the ingestion pipeline that extracts, chunks, enriches, and indexes Storyline’s institutional body of work so agents can retrieve and leverage relevant precedent without manual uploads.
Deployment and hosting. Architect secure, scalable environments for rapid deployment and iteration; manage version control, authentication, access controls, and monitoring across the full portfolio of internal and client-facing applications.
Cross-functional partnership. Partner with Quant Ops and Analytics, Audience Strategy and Ops, Narrative Strategy, Design, and Project Ops to map workflows, eliminate friction, and raise quality bars through AI-enabled processes.
Experimentation and evaluation. Design lightweight experimentation infrastructure — evaluation harnesses, A/B tests where relevant, red-teaming and QA protocols, and clear success metrics (time saved, error reduction, insight quality, client value).
Product development. Develop medium-term AI-enabled product offerings — client-facing tools and formats such as synthetic audience exploration, automated reporting and storytelling formats, analyst copilots, and insight operating dashboards.
Enablement and adoption. Run training, office hours, and playbooks; build a culture of responsible experimentation and consistent usage across the org.
Governance and responsible AI. Establish frameworks for confidentiality, client data handling, model and tool selection, human-in-the-loop review standards, bias and accuracy checks, and escalation paths.
Operational translation. Write clear specs, align stakeholders, manage tradeoffs, and ship iteratively without creating disruption or tool sprawl.
Client support. Contribute to proposals and pitches with a credible AI POV, feasibility assessments, and scoped implementation plans when AI-enabled approaches are part of the engagement.
Landscape monitoring. Track model and tool advances, new agentic workflows, and market research-specific AI developments; recommend upgrades and retirements with clear rationale.
Business impact. Build business cases and ROI models for AI investments; track efficiency gains, cost savings, and revenue opportunities enabled by AI implementations.

What you'll need

6–10+ years of experience in a role that blends technology, operations, and delivery (product, research technology, insights operations, analytics engineering, automation, data/product strategy, or similar).
Demonstrated ability to ship: you’ve built and deployed workflow tools, automations, internal products, or client-facing capabilities that were adopted and created measurable impact.
Strong fluency with modern AI tools and workflows: comfort selecting models and tools for tasks, building reliable agentic workflows, and working inside modern IDE and automation ecosystems.
Practical programming capability (e.g., Python, TypeScript, APIs, data pipelines, scripting, and automation). You do not need to be a full-time engineer, but you must be technical enough to prototype, debug, and collaborate closely with engineering or contractors when needed.
Familiarity with RAG architectures, vector databases (e.g., Pinecone, pgvector), embedding models, and document ingestion pipelines; experience building or managing knowledge retrieval systems that improve AI output quality.
Experience translating messy workflows into systems: process mapping, SOP creation, template libraries, QA standards, and change management that sticks.
Strong product judgment: ability to prioritize ruthlessly, define MVPs, avoid tool sprawl, and build toward an integrated system and roadmap.
Excellent communication and stakeholder management: you can bring clarity to ambiguity, align cross-functional teams, and drive adoption without forcing compliance.
High standards for reliability, confidentiality, and accuracy — especially when AI outputs influence client deliverables.
Preferred. Background in market research, insights, or adjacent domains (survey platforms, qual workflows, analytics tooling, panels and recruiting, insight synthesis, reporting). Candidates with direct market research experience will be better positioned to identify high-value opportunities and build solutions that integrate naturally into existing workflows.
Bonus. Exposure to synthetic data and audience approaches, evaluation methods, or experience developing client-facing research technology products.

Location

US-based, remote position with work-from-home flexibility 4–5 days per week. Strong preference for candidates in the Washington, DC or New York, NY metropolitan areas. Those based in DC or NYC meet in person for one full work week per month in a co-working office for strategic and collaborative work.

Benefits

We offer a competitive benefits package. Storyline Strategies is an equal opportunity employer and values diversity. EOE/AA/M/F/V/D/SO.

In order to comply with equal pay and salary transparency laws in various locations, we believe the target range of base compensation in all locations within the United States for this role is $175,000–$200,000 USD. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location.

How to apply

Please submit a resume and cover letter to careers@storylinestrategies.com.

The Storyline team

We’re trailblazers.We believe “good enough” is neither good nor enough. We’re energized by new challenges, and motivated by the pursuit of innovative ideas that produce results.

We’re invested in what we do.The work is endlessly stimulating. The clients are among the world’s most influential brands and decision-makers. And the team is continuously inspiring. There’s no better motivation to bring your best to everything you do.

We’re driven by a passion for storytelling. Nothing excites us more than uncovering a game-changing insight, crafting an effective solution, and creating an unforgettable narrative.