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Salary
$175k – $210k per year
Location
Hybrid (New York, United States)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Sep 24, 2026. First seen by Alion on Sep 17, 2026.

Overview
Company
Impact
Profile match
Cognitiv is an artificial intelligence marketing agency that developed and optimized the leading custom AI that delivers adaptive algorithmic advertising.

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

This role is accountable for the growth and performance of Cognitiv's Custom Algorithms product by defining what the market needs from it, which KPIs it optimizes toward, and how we drive adoption. You will work closely with Data Science, Engineering, Sales, Customer Success, and Product Marketing to deliver new products and capabilities that drive revenue growth and customer retention.

Location: This position will be located in NYC, San Mateo, or 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:

  • End-to-End Roadmap Ownership for Custom Algorithms. Lead product strategy, prioritize high-impact features, and make the hard calls on what to ship, defer, or decline.
  • Data Science Partnership. Set the product goals models optimize toward, and agree the quality bar a model must clear before launch with Data Science and Engineering. Data Science owns modeling approach, features, and technical execution. You own what good looks like.
  • Performance Accountability. When campaigns underperform, size the commercial impact and drive prioritization with Data Science and Engineering through to resolution.
  • Adoption and Commercial Fit. Partner with Sales, Customer Success, and Product Marketing to drive uptake across the advertiser base. Define which advertisers are a good fit, set clear performance expectations before a campaign launches, and know when to decline.
  • Scalable Delivery. Drive down the manual effort and time required to launch each custom model, working with Data Science and Engineering to define what needs to change and prioritizing it on the roadmap.
  • Market and Revenue Growth. Identify which types of customers we should be going after and how, determine which new KPI models to build, uncover new opportunities, and expand top-line growth.
  • Cross-Functional Leadership. Own the product point of view for Custom Algorithms across Data Science, Engineering, Sales, Customer Success, Product Marketing, and executive leadership.

Who you are:

  • AI & ML Product Fluency. You've worked on products where ML was the core of the value, so you know how they behave: data requirements, probabilistic output, performance that drifts. You keep current on what's becoming possible in AI and what it means for products like ours. You can judge whether a model is serving the product goal, push back when it isn't, and be taken seriously by the people who build it.
  • Commercial ML Track Record. You've owned ML products where the output was money, not a metric. Recommendations, pricing, risk, fraud, search ranking, marketplace matching. High-volume inference, noisy feedback, and a real commercial consequence when the model is wrong.
  • Technical Translator. You translate model behavior into commercial language. You can explain to an advertiser why their conversion volume isn't enough to train on, and tell a sales lead what "good" looks like before the deal is signed. This is the highest-leverage skill in the role.
  • Analytically Self-Sufficient. You pull and interrogate performance data yourself. Given an underperforming campaign, you arrive with a hypothesis, not a request for someone else to look into it.
  • Accountable Product Owner. You've owned a technical product end to end. Discovery through ship, with the tradeoff calls made on incomplete information. You write specs engineering can build from without follow-up clarification sessions. You're the accountable owner, not a coordinator.
  • Credible in the Room. You present with authority to advertisers and to executives, and you can hold a room when the news isn't good.
  • Proven Track Record. 5+ years in Product Management, or in data science / ML engineering with direct product ownership.

Bonus Points If You Have:

  • Programmatic advertising experience, including bidding and auction mechanics, campaign KPIs, and attribution.
  • Causal and experimental rigor. You can design a holdout, reason about selection effects, and tell whether a model is creating outcomes or just finding people who would have converted anyway.
  • A hands-on modeling background, or you still write SQL and Python.
  • Experience turning a bespoke, specialist-delivered offering into something repeatable.
  • Familiarity with signal loss and privacy, including first-party data onboarding, clean rooms, and identity.
  • Enthusiasm for staying up to date with the latest AI technologies and trends and identifying ways to apply them to products.

Salary:

$175,000 - $210,000 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.

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