Senior Product Manager ( Machine Learning/Data Science)

Media.net Ltd.; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Ad tech experience

NLP / large-scale data platforms

Job summary

Media.net in Bengaluru is seeking a Senior Product Manager for Data Science & ML to own the roadmap for DS/ML initiatives and translate research into revenue-driving projects. You will partner with DS and engineering teams to turn open-ended research into actionable roadmaps.

The ideal candidate has 6+ years in product, has shipped features impacting core metrics at scale, and can explain complex trade-offs to non-technical stakeholders. Bonus: ad tech or NLP experience.

Qualifications

• 6+ years in product with real time working alongside DS, ML or research teams.
• Shipped something that moved a core metric (revenue, engagement, efficiency) at scale.
• Enough ML fluency to follow and challenge a conversation about ranking, bandits or sparse data.
• Strong instincts for experimentation, and the ability to tell when an offline win won’t hold up online.
• The ability to explain technical trade-offs plainly to non-technical people.

Responsibilities

• Own the roadmap for DS/ML areas and balance long-shot research against wins we can ship now.
• Turn early prototypes into scoped, sequenced initiatives with DS and Engineering.
• Decide what success looks like (model quality, revenue, latency, adoption) and build the reporting to track it.
• Explain the roadmap to leadership and cross-functional teams, and why it deserves the investment.

Skills

DS/ML collaboration

Experimentation

Communication to non-technical

Roadmap ownership

Revenue impact focus

Job description

Senior Product Manager, Data Science & ML

About Media.net :

Media.net is a leading global ad tech company, building innovative products and solutions for advertisers and publishers. Media.net creates the most transparent and efficient path for ad budgets to become publisher revenue, while delivering meaningful value to advertisers, publishers, app developers, and end users across the open web.

We are one of the world’s largest independent contextual advertising businesses, with one of the industry’s most comprehensive advertising technology portfolios. Media.net powers major publishers and ad-tech platforms across formats, including display, video, mobile, native, search, and local. Our platform manages high-quality ad supply across 500,000+ websites and is licensed by the biggest publishers, ad networks, and technology partners worldwide.

Beyond our core advertising business, Media.net also operates at scale in performance-driven consumer acquisition, app development and distribution, and strategic technology investments. These efforts are supported by one of the world’s largest independent software development engines, enabling us to innovate rapidly and build products used across global markets.

Media.net is home to 1,300+ employees, with key operations across North America, Europe, and Asia. Our US headquarters is in New York, and our global headquarters is in Dubai. Across 50+ demand partners, 21K+ publishers, and a growing portfolio of products and services, we take great pride in driving trusted, transparent, and scalable results.

The role

Our DS/ML teams work on some of the hardest problems in ad tech: predicting what an ad will earn before it’s shown, matching the right ad to a page in milliseconds, and learning from clicks that are rare and noisy. You’ll be the PM who decides which of these bets we take, in what order, and how we know they worked.

You won’t build the models. You’ll work alongside the people who do, and your job is to turn open-ended research into a roadmap that moves revenue.

What you’ll work on

• Revenue and CTR prediction: how do we estimate it across thousands of domains and millions of URLs, by slot, device, location and content?
• Ad matching: how do we handle cold-start for new ads and pages, and make explore-exploit learn faster?
• Targeting: how do we combine contextual and behavioral signals well?
• Identity resolution: how do we build a reliable user identity out of messy signals?
• NLP: what can we learn from page and ad content that we’re missing today?

What you’ll do

• Own the roadmap for one or more of these areas and balance long-shot research against wins we can ship now
• Turn early prototypes into scoped, sequenced initiatives with DS and Engineering
• Decide what success looks like (model quality, revenue, latency, adoption) and build the reporting to track it
• Explain the roadmap to leadership and cross-functional teams, and why it deserves the investment

You might be a fit if you have

• 6+ years in product, with real time working alongside DS, ML or research teams
• Shipped something that moved a core metric (revenue, engagement, efficiency) at scale
• Enough ML fluency to follow and challenge a conversation about ranking, bandits or sparse data
• Strong instincts for experimentation, and the ability to tell when an offline win won’t hold up online
• The ability to explain technical trade-offs plainly to non-technical people

Bonus

Ad tech, programmatic or auction marketplace experience. Exposure to large-scale data platforms or NLP products.

Why this role

Few PM roles let you own a roadmap where the technical problems are this hard and the revenue impact this direct. You’ll work with a team that has a strong research culture, and you’ll have a real say in what it builds next.