# Sr. Engineering Manager, Programmatic Ad Tech, tvScientific

**Company**: tvScientific
**Location**: San Francisco, CA
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $208,592-$429,454 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/pinterest/jobs/7782569?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_1e7bb49e-3a7

## Description

The Ad Server team at tvScientific is seeking a technical leader to oversee tvScientific's emerging ad server stack and help drive the ad server independence initiative.

Responsibilities:

- Lead and make key architectural decisions across the tvScientific ad server tech stack and its major integration points.

- Take technical ownership of the ad server independence roadmap, including developing a clear understanding of the current state of initiatives, ownership across subcomponents, and resourcing needs.

- Oversee and organize the subteams supporting the initiative, including bidder, index building, and VAST serving.

- Serve as the technical DRI for bidder integration work with Pinterest, partnering closely on milestone sequencing, delivery planning, and execution.

- Identify and drive opportunities for shared components and common infrastructure with Pinterest where it makes strategic and technical sense.

- Participate in key strategic technical roadmap and architecture decisions for the Ad Server team.

- Help scale the team over time, including supporting the growth of a multidisciplinary engineering organization.

Requirements:

- Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience.

- 9+ years of software engineering experience, including 5+ years of ad industry experience with 3+ years deep in programmatic ad tech.

- 5+ years of engineering management experience.

- A history of designing scalable, resilient, and observable production systems.

- Demonstrated ability to build and operate high volume, data-intensive services.

- Experience working with ML in low-latency environments.

- Strong data literacy and the ability to use data to inform technical and strategic decisions.

- Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.

- Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review).

- High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.

## Skills

### Required
- programmatic ad tech
- ad server
- CTV advertising
- machine learning
- data-intensive services

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/pinterest/jobs/7782569?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)