Senior Product Manager (AI/ML)

Location: New York, US; work in the New York office

Salary: $170,000–$210,000 per year, plus equity and bonus

Company

hirify.global operates a global marketplace for Native Search advertising across web browsers, Buy Now Pay Later apps, and AI chat surfaces.

What you will do

• Own the roadmap for search relevance, data architecture, and data pipelines across native search and AI Chat surfaces.
• Define and prioritize data, feature, and feed investments supporting retrieval, ranking, and query understanding.
• Drive product strategy for native advertising on AI Chat surfaces.
• Write PRDs, build lightweight prototypes, read schemas, sketch pipelines, and technically scope work with ML engineers, data scientists, and data platform partners.
• Align with Product Analytics, Supply Analytics, AI/ML, and Supply on metrics, experimentation, relevance, yield, and publisher health.
• Define evaluation frameworks and turn ambiguous cross-team problems into sequenced product plans and executive decisions.

Requirements

• 5–8 years of product management experience, including at least 3–4 years in ad tech.
• Experience building and shipping data, ML, or AI products end to end, including products dependent on data pipelines, feature engineering, or model output.
• High technical literacy with hands-on prototyping and technical scoping; comfort reading SQL, exploring data, sketching pipelines, and developing model evaluation plans.
• Working fluency in the publisher and SSP ecosystem, including supply-side workflows, integrations, feed quality, and marketplace dynamics.
• Strong product experience with search and relevance, including retrieval, ranking, query understanding, evaluation, and experimentation methods for causal lift.
• Excellent written communication and the ability to explain complex cross-team problems to executives in one page.
• Ability to operate autonomously in fast-moving, ambiguous environments and drive decisions with incomplete data.

Nice to have

• Experience with AI Chat, generative search, or LLM-powered surfaces, especially monetization, ranking, or retrieval.
• Experience integrating with DSPs, SSPs, identity providers, or product feed and catalog systems.
• Data platform or feature store product experience.
• Hands-on experience with experimentation platforms, offline evaluation, and online A/B testing at scale.

Culture & Benefits

• Values include Curiosity, Collaboration, Creative Conflict, Commitment, and Competitiveness.
• Continuing education, management training, company-wide lunch and learns, and defined career paths.
• Healthcare, wellness programs, paid time off, commuter benefits, and 401(k) matching.
• Summer Fridays, catered lunches, a stocked kitchen, sports teams, happy hours, and corporate retreats.
• Full-time employee compensation includes base salary, equity, and bonus.