---
title: 'Senior Software Engineer, Internal Tools & Automation at Tatari'
canonical: 'https://feeny.ai/job/senior-software-engineer-internal-tools-automation-tatari-san-francisco-qxd8w36zj9md'
type: 'job'
last_seen: '2026-09-05'
---

# Senior Software Engineer, Internal Tools & Automation at Tatari

- **Company:** Tatari
- **Location:** San Francisco California, United States
- **Posted:** 2026-08-07
- **Last confirmed live:** 2026-09-05
- **Apply:** https://job-boards.greenhouse.io/tatari/jobs/8691713002

## Job description

Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world’s fastest growing brands including Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V., reach their customers using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience, enabling businesses of any size to advertise on TV.

That approach has earned Tatari broad industry recognition, including being named [Best CTV AdTech Platform](https://www.tatari.tv/insights/tatari-named-best-ctv-adtech-platform-in-2025-martech-breakthrough-awards) in the 8th annual MarTech Breakthrough Awards, as well as honors from Digiday (https://www.tatari.tv/insights/tatari-awarded-best-ctv-ad-platform, AdExchanger ([Most Innovative TV Advertising Technology](https://www.tatari.tv/insights/tatari-wins-adexchangers-2023-most-innovative-tv-advertising-technology-award)), and Business Insider (https://www.tatari.tv/insights/business-insider-names-Tatari-a-2023-hottest-adtech-company. Tatari has also been recognized as the [Best Place to Work](https://www.tatari.tv/insights/inc-magazine-names-tatari-a-best-workplace-for-the-3rd-year-in-a-row) by Inc. Magazine. Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era.

We are looking for a Senior or Staff engineer to join engineering at Tatari, working closely with the SRE team, and lead how Tatari's engineers build software. Every hour an engineer spends fighting a slow CI pipeline, a flaky test, a confusing deploy, or a manual process is an hour not spent shipping product. The arrival of AI coding tools has made the gap between a great developer experience and a mediocre one wider than ever. You will own that gap.

You will drive the strategy and hands-on execution for developer experience and AI tooling across our engineering organization: evaluating and rolling out AI coding assistants, building internal LLM-powered agents and automations, bringing ephemeral developer environments to our microservice landscape, speeding up the edit-build-test-deploy loop, and measuring the impact of all of it. You'll work from a foundation of solid infrastructure engineering, and occasionally contribute to core reliability and infrastructure work, but the majority of your time is spent making Tatari's engineers (human and AI alike) faster and happier. Working with a small team, this job affords a lot of agency and the opportunity to work with users across application engineering, data science, and analytics.

## Responsibilities

- Own the strategy, roadmap, and execution for developer experience and AI tooling across Tatari engineering
- Evaluate, deploy, and drive adoption of AI coding assistants and agentic development tools across the engineering org including enablement, best practices, guardrails, and cost management
- Design and build internal AI-powered agents and automations for engineering workflows: CI failure triage, incident response tooling, code review assistance, operational runbooks, and internal bots
- Identify and eliminate friction in the development inner loop: CI/CD pipeline speed and reliability, build and test infrastructure, local development environments, and deployment workflows
- Design and implement ephemeral developer environments across our microservice landscape: on-demand, production-like environments for developing, testing, and previewing changes
- Define and instrument developer productivity metrics (DORA-style delivery metrics, AI tooling adoption and impact) and use them to prioritize where the leverage actually is
- Partner with application engineers, data scientists, and analytics teams by sitting with them while they work, learning their current process firsthand, and turning what you observe into improvements they will actually adopt
- Participate in technical architecture discussions

## Qualifications

- 5+ years of experience in cloud-based infrastructure, platform, or developer tooling roles (AWS preferred); for Staff level, a track record of driving tooling or platform adoption across multiple teams
- Daily, hands-on use of AI coding assistants (Claude Code, Cursor, Copilot, or similar) in your own workflow, with informed opinions about where they create leverage and where they don't
- Experience building with LLM APIs and agentic workflows (function/tool calling, MCP, prompt design, or agent frameworks)
- Experience owning or significantly improving CI/CD systems, build/test infrastructure, or developer environments, with measurable results
- Strong Python and shell scripting skills
- Experience with containerization and orchestration (Kubernetes, Docker, or similar)
- Experience with infrastructure-as-code (Terraform preferred)
- Empathy for the frustrations and toil that slow engineering teams down and an intrinsic drive to fix them

## Nice to have

- Experience running an AI tooling rollout or enablement program at a previous company
- Experience with LLM evaluation approaches for internal tooling (measuring quality, not just adoption)
- Experience building ephemeral or preview environments (per-PR deployments, namespace-based isolation, sandboxes) in a microservice architecture
- Go or Rust
- Experience with GitHub Actions at scale, build caching, or test parallelization/flake management
- Experience managing RDBMS (Postgres/RDS, Redshift, or similar) and data infrastructure

## Benefits

- Total compensation ($160,000-180,000/Annually)
- Equity compensation
- Health insurance coverage for you and your dependents
- 401K, FSA, and commuter benefits
- $150 monthly spending account
- $1,000 annual continued education benefit
- $500 Newbie Productivity Perk
- Unlimited PTO and sick days
- Monthly Company Wellness Day Off
- Snacks, drinks, and catered lunches at the office
- Team building events
- Hybrid RTO of 2 days per week in office

At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated.

## #LI-HYBRID

## About Tatari

## Company Overview
- **One-liner**: Tatari builds infrastructure to modernize TV advertising, providing a convergent TV ad platform for buying and measuring campaigns across streaming TV, linear TV, and online video.
- **Entity Type**: Private
- **Headquarters**: San Francisco, California, United States
- **Founded**: Year not explicitly stated on primary sources; executive bios indicate it was founded in the mid-2010s.
- **Founders**: Philip Inghelbrecht (CEO, Co-Founder) and Mike Swinson (Co-Founder, Chief Data Scientist)

## Core Business
- **Primary Industry**: Advertising Technology (AdTech) — specifically TV advertising and data analytics.
- **Target Customers**: B2B — brands, agencies, and publishers. Serves everyone from first-time TV advertisers to those spending $100M+ per year.
- **Mission/Purpose**: To bring automation, control, and transparency to TV advertising, providing a "clear way forward" as TV and digital converge.

## Products & Services
- **Tatari Platform (Self-Serve)**: A unified platform for planning, buying, and measuring TV ad campaigns across linear and streaming TV. Includes optional strategy and managed services.
- **Vault Data Clean Room**: A technology for secure data collaboration between advertisers and publishers.
- **TheViewPoint**: A measurement and analytics tool for evaluating TV advertising performance.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric (Funding)**: Total funding is not explicitly stated in the provided sources. The company is private and has raised venture capital (notable investors include those tied to founders' previous ventures).
- **Notable Investors/Partners**: Not explicitly listed in the provided sources. However, the executive team includes former leaders from Shazam, TrueCar, AdapTV, LiveRail, LKQD, Remixation, Amazon, Google, Facebook, Microsoft, Stripe, and Yahoo.
- **Growth Signals**: Actively hiring across multiple departments (52 open jobs as of the search date), with offices in San Francisco, Los Angeles, New York, Poland, and Ukraine. The company has built technology for both the buy-side and sell-side of TV advertising, indicating platform expansion.

## Competitive Advantages
- **Convergent TV Focus**: Tatari is a dedicated platform for both linear and streaming TV, a niche that is growing rapidly as TV advertising converges with digital.
- **Data Science Core**: Founded and led by data scientists and engineers (not traditional agency folks), giving it a strong technical and analytical moat.
- **Self-Service + Managed Service**: Offers both a self-serve platform for sophisticated buyers and a full-service option for those needing more support, covering a wide market segment.

## Strategic Focus
- **Platform Expansion**: Building infrastructure for both advertisers (buy-side) and publishers (sell-side), moving beyond just a buying tool to a full ecosystem.
- **Data Collaboration**: Development of data clean rooms (Vault) to enable secure, privacy-compliant data sharing.
- **Measurement & Attribution**: Continued investment in analytics and measurement tools to prove TV advertising ROI.

## Why Work Here
- **Culture**: Described as fast-paced, intellectually stimulating, and supportive. The company emphasizes a "learn from mistakes" attitude and values diverse perspectives. They have employee resource groups, volunteer events, and social activities.
- **Work Model**: Hybrid in-office + work-from-home schedule. Offices in San Francisco, Los Angeles, New York, Poland, and Ukraine.
- **Engineering Focus**: The team is heavily weighted toward engineers and data scientists. The engineering culture is described as building solutions to mission-critical problems with a lean, fast-moving approach.
- **Perks**: Inclusive culture with events, book clubs, meditation classes, and family activities.

## Sources
1. [tatari.tv - Company Homepage](https://www.tatari.tv/)
2. [tatari.tv - About Page](https://www.tatari.tv/about-tv-ad-technology-company)
3. [tatari.tv - Team Page](https://www.tatari.tv/about-us/our-team)
4. [tatari.tv - Careers Page](https://www.tatari.tv/careers)
5. [Greenhouse - Tatari Job Board](https://job-boards.greenhouse.io/tatari/jobs/8403003002)

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