# iSpot — Director, AI

- Generated: September 7, 2026 at 4:52:51 PM EDT
- Original/canonical posting: https://www.ispot.tv/about/careers/listings/4730171005
- Jobright source: https://jobright.ai/jobs/info/6a9b4b44fe45b8490f607e6a
- Posted: September 4, 2026 at 10:56:17 PM EDT
- Elapsed since posting at generation: 2 day(s), 17 hour(s)
- Valid through: October 4, 2026 at 10:56:17 PM EDT
- Applicants: Not disclosed
- Work model/location: Remote from Boston; iSpot states local Bellevue/New York employees are hybrid
- Employment type: FULL_TIME
- Compensation: $204,507–$269,942 base salary plus equity
- Travel: Not disclosed
- Positioning track: Technical manager
- Fit outcome: PASS — 93%

## Direct-match strengths

Production customer-facing GenAI, agentic workflows, retrieval, evaluation, distributed SaaS architecture, hands-on prototyping, team building, MLOps, responsible AI, and product partnership.

## Hard or material gaps

Advertising and media-measurement experience is preferred rather than required and is not claimed. Fine-tuning is understood as a model-selection trade-off, but is not claimed as hands-on delivery experience.

## Evidence map

1. Production customer-facing AI — direct AssistX and SuccessKPI SaaS delivery.
2. LLMs, agents, retrieval, embeddings, and evaluation — direct AssistX production evidence.
3. Hands-on architecture and code — direct Python, FastAPI, APIs, orchestration, AWS, and platform operations.
4. Team leadership — recruited and technically led 11 engineers; previously led teams of 7, 24, and 25.
5. Distributed systems and production operations — direct AWS, microservices, data, testing, CI/CD, security, and observability evidence.
6. Quality, cost, latency, and model decisions — direct/adjacent production platform and architecture judgment.
7. Responsible AI — direct governance, privacy, security, auditability, evaluation, and human-review evidence.
8. Advertising/media measurement — unsupported preferred domain, not a must-have.

## Full normalized job description

Note: The job is a remote job and is open to candidates in USA. iSpot is transforming how brands, agencies, publishers, and platforms measure advertising outcomes across linear, streaming, and digital ecosystems. The Director of AI will lead the team responsible for building, shipping, and operating AI-powered capabilities across the Creative, Audience, and Outcomes product lines, while partnering with product management, data science, and platform engineering. This hands-on leader will prototype solutions, guide architecture, develop the team, and ensure AI systems are reliable, measurable, and cost-efficient at scale.
Responsibilities
Lead the day-to-day execution of iSpot's AI engineering roadmap across the Creative, Audience, and Outcomes (CAO) product portfolio
Build, ship, and operate customer-facing AI capabilities — including generative AI features, agentic workflows, retrieval systems, and applied machine learning
Own the architecture and technical patterns for AI services: model selection, orchestration, evaluation, guardrails, cost, and latency
Prototype quickly and personally — write code, run experiments, and validate concepts before committing the team to a direction
Hire, lead, and develop a team of AI and machine learning engineers, setting a high bar for engineering craft and delivery
Partner with Product Management to turn opportunities into scoped, sequenced roadmaps with clear success criteria
Partner with Data Science to productionize models and measurement methodology at scale
Establish evaluation and experimentation frameworks that make AI quality measurable and regressions visible before customers see them
Instrument and manage the economics of AI systems — inference cost, throughput, caching, and capacity planning
Evaluate emerging models, tools, and vendors, and make pragmatic build-versus-buy recommendations
Embed responsible AI practices, data governance, privacy, and security into every customer-facing solution
Report progress, risks, and results clearly to engineering and executive leadership
Skills
Applicants must be currently authorized to work in the United States
* Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field
* 10+ years of software engineering experience, including 3+ years leading engineering teams
* Demonstrated experience shipping AI or machine learning capabilities into production products used by customers
* Working knowledge of modern AI technologies: large language models, agentic systems, retrieval architectures, embeddings, evaluation methods, and fine-tuning trade-offs
* Strong software engineering fundamentals — distributed systems, APIs, data pipelines, testing, and production operations
* Genuinely hands-on: comfortable in the codebase, in notebooks, and in production traces
* Experience partnering across product management, data science, and platform engineering
* Clear communicator who can explain technical trade-offs to non-technical stakeholders
* Track record of delivering in fast-paced environments with shifting priorities
* Practical understanding of AI safety, data governance, privacy, and enterprise security requirements
Advanced degree preferred
* Experience within advertising technology, media measurement, marketing technology, or consumer insights platforms
* Experience building and operating agentic AI systems or autonomous workflows in production
* Familiarity with modern MLOps practices, LLM observability, and cloud-native AI platforms
* Experience with large-scale data processing and analytics infrastructure
* Experience working directly with enterprise customers to shape and validate AI capabilities
* MS or advanced technical degree preferred
Benefits
All full time iSpotters are eligible to participate in iSpot’s equity plan to receive stock options.
Variable commission for employees in eligible roles.
Annual bonus targets for eligible roles.
Non-exempt roles will also be eligible for (pre-approved) overtime pay.
Hybrid and flexible workplace arrangements, including hybrid schedules or fully remote work depending on location and work responsibilities.
Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week.
Those in a role, not office-based and located further away from our offices, will work a fully remote schedule.
Company Overview
iSpot helps advertisers measure the brand and business impact of TV and streaming advertising, from concept to airing to conversion. It was founded in 2012, and is headquartered in Bellevue, Washington, USA, with a workforce of 201-500 employees. Its website is http://www.ispot.tv.

## Artifact metadata

- Resume: https://bit.ly/4xDUy9H
- Cover letter: https://bit.ly/4xDUyXf
- Validation: PASS — 2-page resume (929 words), 1-page cover letter (240 words); PDF geometry, annotations, bounds, and links verified.
- Google Drive used: No