Senior Product Manager, Custom Algorithms

Cognitiv; New York (NY); Hybrid; USD 175,000 - 210,000; Full time

Benefits offered by this job

Medical plan

Dental plan

Vision plan

Extended health benefits

Parental leave

Unlimited PTO

Work-from-anywhere August

Equity

Hybrid work model

Team lunch

Wellness stipend

401(k) match

Job summary

Cognitiv is redefining AdTech with a Deep Learning Advertising Platform. This role drives the performance and scalability of the Custom Algorithms product, owning the advertiser launch process and end-to-end roadmap.

You will collaborate with data science, engineering, sales, and account management to deliver new features that drive revenue and improve retention. Location: NYC, Bellevue, or San Mateo with a hybrid work schedule.

Qualifications

• 5+ years in Product Management or data science/ML with ownership
• Ability to translate model behavior into business context
• Proven track record shipping ML-enabled products
• Strong analytical skills and data-driven mindset
• Excellent written and verbal communication with executives and clients

Responsibilities

• Own end-to-end roadmap for Custom Algorithms.
• Align with Data Science on model quality, features, and retraining cadence.
• Diagnose underperforming campaigns and implement fixes.
• Set pre-launch performance expectations with Sales/CS.
• Create concise PRDs for rapid, high-value features.
• Streamline launch workflows to accelerate time-to-market.
• Identify new market opportunities and growth for algorithms.
• Advocate for cross-functional alignment across teams.

Skills

ML literacy

Commercial ML

Technical translator

Analytical

Product ownership

Communication

SQL

Python

Tools

SQL

Python

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

This role is accountable for the performance and scalability of Cognitiv's Custom Algorithms product by owning model quality, the advertiser launch process, and the roadmap end-to-end. You will work closely with data science, engineering, sales, and account management to deliver new products and features to drive revenue growth and customer retention.

Location: This position will be located in either NYC, Bellevue, or San Mateo 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 Alignment. Partner with Data Science on model quality, features, retraining cadences, evaluation metrics, and drift remediation.
• Root-Cause Diagnostics. Interrogate underperforming campaigns to isolate the core issue—data, model, or delivery—and execute the fix.
• Commercial Pre-Flighting. Set strict, clear performance expectations with Sales and CS before campaign launch to lock in client success.
• Pragmatic PRD Creation. Author crisp specifications that enable Data Science and Engineering to build, iterate, and ship high-value features fast.
• Scalable Delivery. Streamline the launch workflow to reduce manual touchpoints and accelerate time-to-market for custom models.
• Revenue Innovation. Uncover untapped market opportunities and build algorithmic products that directly expand top-line growth.
• Cross-Functional Leadership. Serve as the authoritative voice and champion for Custom Algorithms across internal teams and executive leadership.

Who you are:

• Deep ML & AI Literacy. You have real depth in machine learning. You reason fluently about training data, features, evaluation metrics, and retraining, enough to challenge a data scientist's assumptions and be taken seriously doing it. You don't need to build the models. You do need to understand why one is underperforming.
• 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 to 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're 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're the accountable owner, not a coordinator.
• Master Communicator. You synthesize complex algorithmic systems into compelling narratives that align internal executives and instil confidence in external clients.
• 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

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.

• 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.