---
title: 'Staff Software Engineer, Backend at Cognitiv'
canonical: 'https://feeny.ai/job/staff-software-engineer-backend-cognitiv-bellevue-67vz81tyq4ry'
type: 'job'
last_seen: '2026-09-07'
---

# Staff Software Engineer, Backend at Cognitiv

- **Company:** Cognitiv
- **Location:** Bellevue, WA
- **Posted:** 2026-06-26
- **Last confirmed live:** 2026-09-07
- **Apply:** https://job-boards.greenhouse.io/cognitiv/jobs/4296520009

## Job description

Are you ready to revolutionize the advertising industry?

At Cognitiv, we are not just another AdTech company—we are industry trailblazers redefining media buying with our Deep Learning Advertising Platform. Since 2015, we have harnessed the power of cutting-edge deep learning technology and data science to transform how brands connect with their customers. Our mission? To bring intelligence to advertising and deliver unparalleled precision, relevance, and impact at scale.

With our innovative platform, advertisers enjoy unprecedented flexibility—whether it is activating Dynamic Deals through their preferred DSP, leveraging our managed service DSP, or utilizing our industry-first ContextGPT product. As a part of Cognitiv, you will be at the forefront of AI-driven advertising solutions, driving change and achieving remarkable growth in a rapidly evolving industry.

Now, we’re growing!

## The Role

We're hiring a Staff Software Engineer (Backend) to lead the technical direction of the systems powering our next-generation, pixel-less ad targeting platform. You'll architect, design, and evolve the backend services that enable ContextGPT to scale across customers, partners, and the broader ad-tech ecosystem while ensuring long-term reliability, performance, and maintainability.

This role is accountable for driving the technical strategy behind ContextGPT integrations, enabling scalable growth through new partners, supply sources, and platform capabilities. You'll work across multiple engineering teams, influence architectural decisions, and partner closely with Product, Infrastructure, and external stakeholders to deliver durable solutions that accelerate business growth.

This position will be located in Bellevue with a hybrid work schedule of 3 days in office (Mon/Tue/Wed) and 2 days remote optional (Thursday/Friday).

## What You’ll Do

- Lead the architecture, design, and evolution of backend services and APIs in .NET Core on AWS that power ContextGPT across the ad-tech ecosystem
- Drive the technical strategy for integrating new data centers, supply partners, and third-party platforms while ensuring scalable, resilient system design
- Lead complex, cross-team engineering initiatives that improve platform scalability, reliability, and operational excellence
- Identify architectural bottlenecks and proactively evolve systems to support long-term product and business growth
- Partner with Product, Infrastructure, and Engineering leadership to shape technical roadmaps, evaluate tradeoffs, and prioritize investments
- Establish engineering best practices around system design, observability, testing, deployment, and operational readiness
- Mentor senior engineers through design reviews, technical guidance, and architectural leadership
- Improve developer productivity by driving platform improvements, reusable components, and engineering standards
- Serve as a technical leader during production incidents, driving root cause analysis and long-term preventative improvements

Who you are:

- Ownership, Drive & Agency: You identify systemic problems, create solutions without waiting for direction, and drive cross-functional execution through influence rather than authority.
- Technical leader: Deep expertise in system design, leveraging NET Core (or another strongly typed language such as Java or Kotlin) and AWS (preferred) or Azure/GCP.
- Architectural thinker: Comfortable making long-term architectural decisions that balance scalability, performance, maintainability, and business objectives across multiple systems.
- Cross-functional collaborator: Able to partner effectively with Product, Infrastructure, Engineering leaders, and external partners while aligning multiple stakeholders around technical direction.
- Mentor & multiplier: Passionate about growing engineers through coaching, design reviews, and establishing engineering best practices that elevate the entire organization.
- Operational excellence: Strong focus on reliability, observability, testing, automation, and long-term system health.
- Resilient & adaptable: Comfortable leading through ambiguity, balancing competing priorities, and making thoughtful technical tradeoffs.
- In-person collaborator: Excited to work onsite MTW in Bellevue, WA.

Bonus Points If You Have:

- Experience designing large-scale distributed systems serving high-throughput production workloads
- Deep experience building platform services or developer infrastructure used across multiple engineering teams
- AdTech or programmatic advertising experience
- Experience leading major partner integrations or platform expansion initiatives
- Startup or high-growth company experience
- Expertise with CI/CD, infrastructure automation, and engineering productivity tooling
- Hands-on experience with .NET Core, AWS, RDS, ClickHouse, Datadog, or similar technologies

What Success Looks Like in Your First 30/60/90 Days:

What success looks like in your first 30 days

- Develop a deep understanding of ContextGPT, platform architecture, key integrations, and the broader ad-tech ecosystem
- Build strong relationships with engineering leadership, product partners, and external stakeholders
- Identify architectural risks, scalability constraints, and opportunities for long-term platform improvements
- Contribute technical leadership during design discussions and architecture reviews

What success looks like in your first 60 days

- Lead the design of a significant integration or platform initiative supporting ContextGPT growth
- Influence architectural decisions across multiple services and engineering teams
- Deliver measurable improvements to scalability, reliability, or developer productivity
- Establish credibility as a trusted technical leader and advisor

What success looks like in your first 90 days

- Lead a complex engineering initiative spanning multiple systems or teams that delivers measurable business impact
- Drive architectural improvements that enable future ContextGPT growth, new partnerships, or expanded inventory access
- Establish engineering standards, design patterns, or platform capabilities adopted by other teams
- Be recognized as a trusted technical leader who influences engineering direction beyond your immediate team

Salary: $200,000 - $270,000 USD Base Salary + Equity

## What We Offer

Compensation is based on experience, skills, and other factors. Base salary is just one part of your total rewards at Cognitiv—you’ll also receive equity and a comprehensive benefits package.

Highlights include:

- Medical, Dental and Vision plan for US employees & Extended Health Benefits for Canadian employees
- 12 weeks paid parental leave + 4 weeks WFH
- Unlimited PTO + Work-From-Anywhere August
- Career development with clear advancement paths
- Equity for all employees
- Hybrid work model & daily team lunch
- Health & wellness stipend + cell phone reimbursement
- 401(k) & RRSP with employer match
- Parking (CA, WA, Vancouver offices) & pre-tax commuter benefits
- Employee Assistance Program
- Comprehensive onboarding (Cognitiv University)
- …and more!

## What You’ll Find at Cognitiv

- Festiv – We make work fun with cross-team games, events, and creative team bonding.
- Responsiv – You’ll be close to clients and leadership, influencing real outcomes.
- Inclusiv – Diversity and individuality are celebrated across all levels.
- Inventiv – We reward curiosity and embrace bold ideas.
- Transformativ – We support your growth with training, mentorship, and flexibility.
- Collaborativ – We operate across coasts, connected by purpose and teamwork.

Cognitiv is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace for all.

Note on AI Use: Cognitiv may use AI technology to assist with certain administrative aspects of the hiring process, such as note-taking, interview documentation, and reporting. However, every resume and application is reviewed directly by our recruiting team. AI tools are used solely for operational support and do not influence candidate evaluation or hiring decisions.

## About Cognitiv

## Company Overview
- **One-liner**: Cognitiv is a deep learning advertising company that uses custom AI to predict consumer behavior and drive full-funnel marketing performance at scale.
- **Entity Type**: Private (Seed / Convertible Note stage, ~$5M total funding)
- **Headquarters**: New York, New York, United States
- **Founded**: 2015
- **Founders**: Jeremy Fain (CEO & Co‑Founder), Aaron Andalman (CTO & Co‑Founder), Marc Hudacsko (Co‑Founder)

## Core Business
- **Primary industry**: Advertising Services / AI‑Powered Marketing (AdTech)
- **Target customers**: Enterprise brands and advertisers (B2B)
- **Mission**: “Bring intelligence to advertising” by delivering transformative marketing solutions through deep learning.

## Products & Services
- **Deep Learning Advertising Platform (DLAP)**: Proprietary AI platform that predicts consumer behavior in real time and self‑drives performance across channels. Advertisers can activate via the DSP of their choice, a managed‑service DSP, or the ContextGPT tool.
- **ContextGPT™**: Industry‑first chat‑based contextual targeting tool that reads full page content, understands nuance and sentiment, and enables brand‑safe, precise ad placement at scale.
- **Performance CTV**: Cross‑device ID graph to target and measure prospects on connected TV channels, optimized with deep learning.
- **Curation (Deep Learning DSP)**: Access to neural‑network algorithms that create dynamic Private Marketplaces in any DSP, tailored to each brand’s campaign needs.
- **Real‑time Optimization (ContextGPT for full funnel)**: Analyzes users and context in real time to drive KPIs across awareness, consideration, and conversion.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Total funding of ~$4.95M (Angel, Seed, Convertible Notes) as of March 2019
- **Notable Investors/Partners**: Investor names not disclosed in available sources
- **Growth Signals**: 
  - Headcount: ~155 – 170 employees (LinkedIn reports 155, +12.8% YoY; Built In lists 170)
  - 5 offices: New York (HQ), Bellevue, San Mateo, Chicago, Vancouver
  - 85%+ VCR outperformance; 60% more efficient CPA; 28% exceedance of CTR benchmarks (self‑reported on website)

## Competitive Advantages
- **Proprietary deep‑learning technology** built in‑house since 2015, offering a moat vs. rules‑based or simple ML ad platforms.
- **ContextGPT** – the first chat‑based contextual targeting tool on the market, providing nuanced, brand‑safe targeting at scale.
- **Flexible activation** – works across any DSP (“Dynamic Deal”), managed‑service DSP, or own contextual tool, reducing lock‑in for advertisers.
- **Full‑funnel capability** from reach to incrementality, across mobile, desktop, and CTV.

## Strategic Focus
- **Expand ContextGPT** as a differentiated product for brand‑safe, scalable contextual targeting.
- **Deepen AI capabilities**, especially for CTV and cross‑device measurement.
- **Scale partnerships** and self‑service adoption to grow market share in programmatic advertising.

## Why Work Here
- **Hybrid work model**: In‑office Monday–Wednesday, remote Thursday–Friday, plus “Work from Anywhere August.”
- **Unlimited PTO** and strong work/life balance emphasis.
- **Equity for all employees** – every team member receives stock options.
- **Perks**: Daily lunch reimbursement, cell phone reimbursement, fitness/health reimbursement, 401k employer match.
- **Career development**: Clearly defined career ladders for every team, comprehensive manager training, and monthly house competitions that foster cross‑office bonding.
- **Culture**: Described as collaborative and fun, with a focus on deep learning innovation and employee growth.

## Sources
1. [cognitiv.ai](https://www.cognitiv.ai/)
2. [cognitiv.ai/about-us](https://www.cognitiv.ai/about-us)
3. [builtin.com/company/cognitiv](https://builtin.com/company/cognitiv)
4. [linkedin.com/company/cognitiv](https://www.linkedin.com/company/cognitiv)
5. [job-boards.greenhouse.io/cognitiv](http://job-boards.greenhouse.io/cognitiv)

## Other roles at Cognitiv

- [Senior Site Reliability Engineer, AWS/Datacenter Hybrid](https://feeny.ai/job/senior-site-reliability-engineer-aws-datacenter-hybrid-cognitiv-bellevue-q99f91fdy6za) — Bellevue, WA
- [Finance Analyst, AI/Automation](https://feeny.ai/job/finance-analyst-ai-automation-cognitiv-new-york-46a1491c0a3x) — New York, NY
- [Senior Machine Learning Engineer, Features (Adtech)](https://feeny.ai/job/senior-machine-learning-engineer-features-adtech-cognitiv-san-mateo-t4psc8tdt7f2) — San Mateo, CA
- [Staff Research Scientist, AdTech Product Innovation](https://feeny.ai/job/staff-research-scientist-adtech-product-innovation-cognitiv-san-mateo-pdgrg24cm59q) — San Mateo, CA
- [Staff Research Scientist, AdTech Product Innovation](https://feeny.ai/job/staff-research-scientist-adtech-product-innovation-cognitiv-bellevue-hvvxxwcg1xnw) — Bellevue, WA
- [Staff Software Engineer, Backend](https://feeny.ai/job/staff-software-engineer-backend-nango-united-states-tdp8bd7p5er5) — United States
- [Staff Software Engineer, Backend](https://feeny.ai/job/staff-software-engineer-backend-helius-north-05awjffzrq8q) — North, United States
- [Staff Software Engineer, Backend](https://feeny.ai/job/staff-software-engineer-backend-okta-toronto-8fnbazb29885) — Toronto, Canada
- [Staff Software Engineer, Backend](https://feeny.ai/job/staff-software-engineer-backend-motive-san-francisco-q2jv9f5hvche) — San Francisco, CA
- [Staff Software Engineer, Backend](https://feeny.ai/job/staff-software-engineer-backend-doordash-canada-toronto-chzqnbbafz5m) — Toronto, Canada